diff --git a/TwitterDemographics.ipynb b/TwitterDemographics.ipynb new file mode 100644 index 0000000..48fb55a --- /dev/null +++ b/TwitterDemographics.ipynb @@ -0,0 +1,4947 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Twitter Demographics\n", + "\n", + "This notebook replicates the analysis in the paper:\n", + "Aron Culotta, Nirmal Ravi Kumar, and Jennifer Cutler. [\"Predicting Twitter User Demographics using Distant Supervision from Website Traffic Data\"](http://tapilab.github.io/user%20attribute%20inference/2016/03/01/predicting/) *Journal of Artificial Intelligence*, 2016.\n", + "\n", + "The goal of this analysis is to predict the demographics of Twitter users based on whom they follow and what they tweet.\n", + "\n", + "This notebook has been tested in **Python 2.7** only.\n", + "\n", + "The code below is exactly what was used produce the tables and figures in the final version of the paper. See `requirements.txt` for the versions of external libraries used." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Data**\n", + "\n", + "Please see the paper for the details of data collection. This notebook assumes access to the preprocessed data, which is available here:\n", + "\n", + "https://www.dropbox.com/s/vtuha0pgihhxp4d/jair-2016-demographics-data.tgz?dl=0\n", + "\n", + "Please contact Aron (`aronwc@gmail.com`) for access.\n", + "\n", + "This is about 1G. Once you download this data, place it in a folder called `data`, in the same folder as this notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import os\n", + "import urllib\n", + "import pickle\n", + "username2brand = pickle.load(open('data/username2brand.pkl', 'rb'))\n", + "brand2counts = pickle.load(open('data/brand2counts.pkl', 'rb'))\n", + "id2brand = pickle.load(open('data/id2brand.pkl', 'rb'))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1072 brands\n" + ] + } + ], + "source": [ + "print '%d brands' % len(id2brand)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "15650816 [(35764757, 231), (15846407, 217), (25525507, 203), (90420314, 186), (34381878, 177)]\n" + ] + } + ], + "source": [ + "# Print the top accounts for the first brand.\n", + "print brand2counts.keys()[0], sorted(brand2counts.values()[0].items(), key=lambda x: -x[1])[:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "read 1428 demographics\n" + ] + } + ], + "source": [ + "# Read the demographics of each brand.\n", + "import json\n", + "username2demo = dict()\n", + "for line in open('data/brands.json', 'rt'):\n", + " js = json.loads(line)\n", + " username2demo[js['twitter'].lower()] = js\n", + "print 'read', len(username2demo), 'demographics'" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "no demo for bridalguidemag\n", + "no demo for fftoolbox\n", + "no demo for mommyshorts\n", + "no demo for snapwidget\n", + "no demo for psudotcom\n", + "no demo for tomandlorenzo\n", + "no demo for bor\n", + "no demo for urbandecay\n", + "no demo for 140proof\n", + "no demo for voceropr\n", + "no demo for nowness\n", + "no demo for foxsports\n", + "no demo for history\n", + "no demo for wallstcs\n", + "no demo for irokotv\n", + "no demo for shopwell\n", + "no demo for thelmagazine\n", + "no demo for wgtc_site\n", + "no demo for geeksofdoom\n", + "no demo for si_golf\n", + "no demo for untappedcities\n", + "no demo for kineda\n", + "no demo for firehousenews\n", + "no demo for semitrucks\n", + "no demo for justintv\n", + "no demo for visitkc\n", + "no demo for simplyrecipes\n", + "no demo for bethenny\n", + "no demo for nyulocal\n", + "no demo for myxer\n", + "no demo for jaltucher\n", + "no demo for texashsfootball\n", + "no demo for universetoday\n", + "no demo for dodgersnation\n", + "no demo for svpply\n", + "no demo for askamanager\n", + "no demo for brightscope\n", + "no demo for maximmag\n", + "no demo for okayplayer\n", + "no demo for giantfoodstores\n", + "no demo for livemixtapes\n", + "no demo for addictinggames\n", + "no demo for mmaweeklycom\n", + "no demo for hasitleaked\n", + "no demo for twit\n", + "no demo for boardingarea\n", + "no demo for stayclassysd\n", + "no demo for selectism\n", + "no demo for 21alivewpta\n", + "no demo for chicago_reader\n", + "no demo for inthesetimesmag\n", + "no demo for wayfair\n", + "no demo for nofilmschool\n", + "no demo for berecruited\n", + "no demo for emsworldnews\n", + "no demo for lakersnation\n", + "no demo for realityblurred\n", + "no demo for ballerstatus\n", + "no demo for sds\n", + "no demo for eatingrules\n", + "no demo for cincinnatiusa\n", + "no demo for veria_living\n", + "no demo for cookieandkate\n", + "no demo for kicksdeals\n", + "no demo for pregnancyorg\n", + "no demo for addinfoorg\n", + "no demo for gametrailers\n", + "no demo for natgeo\n", + "no demo for 247sports\n", + "found demographics for 1003 brands\n" + ] + } + ], + "source": [ + "# Add demographics to each brand dict (where available)\n", + "count = 0\n", + "for username, brand in username2brand.iteritems(): \n", + " if username in username2demo:\n", + " brand['demo'] = username2demo[username]\n", + " id2brand[brand['_id']]['demo'] = username2demo[username]\n", + " count += 1\n", + " else:\n", + " print 'no demo for', username\n", + "print 'found demographics for %d brands' % count" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false, + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "15650816 [(35764757, 231), (15846407, 217), (25525507, 203), (90420314, 186), (34381878, 177)]\n" + ] + } + ], + "source": [ + "# Set self reference counts to 0.\n", + "for brand in brand2counts:\n", + " brand2counts[brand][brand] = 0.\n", + "# Now, the brand id should not appear in the count dict.\n", + "print brand2counts.keys()[0], sorted(brand2counts.values()[0].items(), key=lambda x: -x[1])[:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Plot descriptive stats of the data\n", + "# - number of friend-of-followers per brand?\n", + "# - number of followers per feature?" + ] + }, + { + "cell_type": "code", + "execution_count": 717, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Populating the interactive namespace from numpy and matplotlib\n", + "total friend links: 177997246.0\n" + ] + }, + { + "data": { + "image/png": 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KirBhwwaX/OfJzMy0uv3RRx9BURS0a9cOANC7d28cPnwYwcHBaNWqVZmf0v/B7ZWamoo1\na9ZYDSc4f/48Vq1ahU6dOlXpmPHx8VbtBpgnedhSlbZs164dFEXBxx9/bLX9o48+KrNvvXr1sG/f\nPly+fNmy7bvvviszfKJXr1749ddf0aRJE5vta+/SPxXp1atXlV7DZs2aITg4uMx7pLw/uOWx1da2\njqmqKtq3bw/APMtbVdUy+33wwQfw9/e37GevFi1a4LnnngOAMrPgqXJiYmIwb948zJs3DzNmzIC/\nv7/Tvx72JMzfZo7mb3s0btwY9erVw2+//Wbz+ZQMI7AlJSUFP/74o6WXHQAuXbqEL774wqHX5vDh\nw9i2bZvldnFxMZYtW2Z5DYKDg9G6dWtkZmZaTRr+66+/sGXLFpe2V1XcdNNNWLt2LdasWYM777yz\n3CEVsbGxmDhxIpo2bVotc6pH9iQD1XMdvyufU9u2bdGwYUM88sgjUFUVfn5+eO2111BYWOjwc7f1\n+LVr1+LRRx9F9+7dsX37dsyYMQNDhw5Fw4YNAZjHgC5evBhdu3bFQw89hObNm6OwsBB//vknVq1a\nhc8//xyBgYGVjuWpp57C6tWr0bVrV0sv6jPPPIP8/PwqfwAaNGgQnn76acyePRvt2rXD5s2bbRaw\nQPnvo4rauGQliylTpkBVVVx//fXYsGGDzVnngwYNwptvvonhw4dj6NChyM7OxgsvvICwsDCrc8yY\nMQNt27bFTTfdhLFjxyI+Ph65ubn47bffkJ2djUWLFlWyFcqq6msYHh6O8ePHY/bs2TAajejatSt+\n+uknvPPOOwBgc9kkW2y16Z49ezB8+HAMHDgQ+/btw+TJk9G5c2fLkk29e/fGjTfeiAceeAA5OTlo\n0qQJ1qxZg0WLFuGJJ564am/Vrl27MG7cOAwaNAgNGzZEcXExMjIy4Ovr6/BscfrXzp070axZM6d8\nmPNUzN/Oyd/2tI8QAgsWLEC/fv1QWFiIO+64A1FRUTh58iS2bNmC+Ph4TJgwweYxJ06ciIULF6Jn\nz56YOnUq/Pz88PzzzyMgIMChIjk6OhoDBw7E9OnTERUVhYULF+KPP/6wWlJ05syZSEtLQ58+fTBq\n1Cj8/fffmDp1KsLDw/HQQw9Vuh0qs29VjnfjjTdi3bp16N27NwYOHIiPPvoIPj4+aN++Pfr164em\nTZsiJCQEmzZtwq5du8osa1odeGSRLISwrGmYlpaGG2+8Ue+Q7GbvkmAGgwErVqzAmDFjMGzYMERG\nRmL8+PFISUmpcI3J0se05/xCCCxZsgTPPvssFi5cCH9/f/znP//Bs88+a9nHx8cH69evx9y5c/Hm\nm28iOzsbwcHBaNSoEdLS0qz+OFYm0TRr1gwbN27E5MmTMXToUEgp0b59e2zatAnNmjW76vOxZdKk\nSTCZTHj11Vcxd+5cpKWl4f3337d8oq+oLcrbXvr2G2+8gZCQEDz77LMoLCxE165dsXTp0jLvxU6d\nOuH111/Hs88+i08//RStWrXCkiVLMGDAAKtjxsbGYufOnZg2bRqeeOIJ5OTkIDIyEs2aNcPQoUOv\n+pzteR6OvIbTp0+HlBKLFi3Cyy+/jJSUFGRkZOCGG26wmghS2TZ96aWXsGLFCgwaNAjFxcXo27cv\nXn75Zat9vvjiCzzxxBN45plncObMGdSvXx8vvPACxo0bd9U2qFOnDuLj4/H888/jyJEjCAgIQPPm\nzbF69WokJyeX15xUSe7YE+YKzN/WXJG/7d2vd+/e+O677zBr1iyMGDECly5dQu3atdG+fXvceeed\nVse78piRkZH4+uuv8d///hdDhgxBVFSU5UP4e++9Z9e5bcV87bXX4tFHH8WkSZOwf/9+1K9fHx9+\n+KHVxPCePXviiy++wPTp0zFw4ED4+fmhc+fOmDdvntV61OW9zyo6/9W2Vab9r9y3Q4cOWL9+PXr1\n6oX09HR8/PHHSE1NRWZmJubOnYuioiI0bNgQL774IsaOHWt3zJ5CSA/sks3NzUV4eDhMJhNmzpyJ\ncePGIS4uTu+wyMsdPHgQDRo0QEZGBoYMGaJ3OC73ySefID09HZs3b8YNN9ygdzikk4sXL2LcuHFY\nuHBhmQmWRJ6guLgYrVq1Qq1atfDll1/qHQ65Ec0z2p49e7Bq1SpkZ2cjNzcXo0aNKtMDsX79eqxc\nuRImkwmxsbEYNmyY1aUlS2b81qhRA8nJyThw4IDdRXJWVhaSkpKc9nyoYmxvbbmqvbdv347Vq1ej\nXbt2CAgIwP/93/9h7ty5aN++vdcWyJ7+3nZGLgbMQy1atGhRqQLZ09vO07C9rT311FNo1KgR4uPj\ncebMGbz99tv47bffsGbNGqccn+2tLVe2t+YT9woKChAfH49hw4bBz8+vzFcAW7ZsQUZGBgYMGID5\n8+cjISEBs2fPxunTpy2PL1lmJD8/H7/99lulepGr48Byd8b21par2jskJASbN2/G0KFD0bt3b7zy\nyisYNGiQ0/6oeCJPf287mouv3K9Dhw6VOrent52nYXtbUxQFM2fOxM0334whQ4bg3Llz+Pzzz63W\npXYE21tbrmxvzYvk5ORkDBo0CCkpKTbHyKxevRqdO3dGly5dEBMTg+HDhyM8PBwbNmwAAJhMJkyZ\nMgWPPPIIJk+ejNTUVDRo0EDrp2EXR1+4yj7env0r2qe8++zdrndi0Lu969WrB1VVrYZaVJf2btKk\nCb799lucPn0ahYWFOHz4MMaMGWM1Hrmy+P7Wl6O5GDAPtThw4ABatGihZeiVpnducNb9trbbu01L\n7t7e06dPxx9//IGLFy/iwoULeOutt3DLLbfYdVxvb29H83BF97tje7vVEnBFRUXIzs4us4xQ8+bN\nsW/fPgDmGaTz58/H/Pnz8dxzz5W5Eow7cbdEcbV9PL2IYHtri+1dfdmTiwEgKCgIb775ptUaqu7I\n3d6r1amIsIXtrS0Wya6j68S9IUOG4L777rPM/jx79ixGjRqF6dOnW417++STT/D9999bLVxvr6ys\nLKsGLX35TiIiPV25xm1SUpIuYxldnYuZh4nInZWXh6v9VGRbf3SOHTumUzTex2g02rziHLkG21s7\nzmjrmJgYrygYmYf1xbygLba3thxt74rysFsNtwgNDYWiKDCZTFbbTSZTmWvYExGRa7gqF2dlZZW5\nOhwRkd4yMzNtDuNwqyLZx8cHDRo0wK5du6y27969GwkJCTpFRUTkXVyVi5OSkryi55yIPEt6errN\noW6aF8n5+fk4ePAgDh48CCklcnJycPDgQcuyQmlpadi4cSO++eYbHDlyBIsXL4bJZEL37t0dOi97\nMIjIHZXXg+FqeuViIiJPofnEvaysLJuX5UxNTcXo0aMBABs2bMCKFStgMpkQFxeHoUOHllnA3hEc\nC6cdjs3SFttbO84ak6wXPXJxyQS+9PR05mENMS9oi+2tLWeMSc7MzLQ5d8IjL0vtKCZn7TBZaIvt\nrR1PL5L1xjysHeYFbbG9teWMIrk8bjUmmYiIiIjIHbBIJiIiTXBuCBG5o/LmhlT7dZKJiMg96HWx\nFCKiinjEOsmuxB4MInJHeq1uQUREFfOaIpnrcxKROypvfc7qiJ0VROSOONyCiIh0xeEWROSOvH64\nBRERERGRvVgkExERERGV4jVFMsfCEZE78qaJe8zDROSOysvDvOIeuRSvPKQttrd2eMU9xxwedw9E\ndAwQfQ1E7bpA7bpAzdoQPr56h1btMC9oi+2tLVdecY8T94iISHPKrXdDnjgKnDwKdX8WcPIocPY0\nEBEFRNeFiDYXzqJ2XSC6LhAWDiGE3mETkRdhkUxERJoTjZtBNG5mtU0WXQZyTgAnjkKePApk74O6\n9VvgxFGg6LJV8Yza//weXRfC31+nZ0FE1RmLZCIicgvCxxeoEwvUiUXpPmN54fy/xfOJo5A7vzf3\nROecAIyh1r3PJYV0RE0IxWum3hCRk7FIJiIiTWRlZSErK6tKF3YSwUagYSJEw0Sr7VItBs7kACeP\nmovmE0eg/rLN3Pt88TxQsw4QWQuiRgQQFgHUCIcIiwRqRJh/jKEQisFZT5GIPFBmZqbNddxZJBMR\nkSZccTERoRiAmrXNk/6atra6T+ZfAk4dA87mQJpygXNngez9UM9tB0xnANNZ4OLfgDHsnwI6AuKf\nf82/h5t/DwkFAgKBgEAW1ETVUHkf3L2mSHakB4OIyFXK68Egx4mAQCCuIRDXsMzwjRKyqAjIM5kL\naNNZyH/+xZ97oZ47C5hygb/zgIJLQH4+4OsD+JsLZsu/AYHmc5X8+Af8+3vJff6BQEAQEBAAhIRC\nGMM0bQsiqjyvKZL5R4iI3BE/uOtL+PiYV9SIiDLfrmBfKSVQWADkXzL/FFyy/C7z//0d+ZeA8+eA\nnJNA/iWoBaXuyzOZe75btTf/1InV5skSUaV4TZFMRETkCCGEuZfYPwAIC7e+rxLHkcXFwP4syJ+3\nQn1+irm3+Z+CGXENudQdkZtgkUxERKQhYTAAic0hEptDDrwf+OsPyJ9+hPrmfKCoyFwwJ7cHGiVy\nDDSRjlgkExGRJjg3pCyhKED9BIj6CZC3DQGOHTIXzB++CZw7C5GcYi6YE5vxaoRELlLe3BBelppc\nipfn1BbbWzu8LLVjmIevTp46DvnzVsiffwSOHwGiogEhAEUx/ysEYKwB0bItRIu2ECGhNo/DvKAt\ntre2eFlqIiIiLyNq1YHo2R/o2R/SdNa8AocqAakC0vyvPH0K8petkB+/DdS7FiK5PUTrDhChNfQO\nn8jjsUgmIiJyc6Lk4ieltzdqAqR0giwoAPb8DPnTFqifvw/RJBnipp5AYnMdoiWqHrymSOZYOCJy\nR1wnmZxB+PsDySkQySmQFy9AbtsI9eO3gcuXUZB2O2TbTubl7ojIbhyTTC7FsVnaYntrh2OSHcM8\n7HpSSuDP36Gs+xRFx49CuX0Y0LIdl5hzMeZhbXFMMhEREVWKEAJo1AQhk9oh78dNUD9ZDHz5OUTr\nG81XDjT4QkTVgmjcTO9QidySVxbJxa8+/e8Nq0/UpT5dW91l337C6kbp/cr59F5mu/j3n5IZzEIp\nO6u5wm1X/C6Uf451xX6KcpX9y9l25Y+imJNwBftfDg6GzM8ve1zYGYePD+DrC/j6AT5+gK8P1w0l\nIqok0bQVlCYtIH/8FvjrD6CoCCi6DPWTnVAencur/hHZ4JVFsnJjN/MvVw40KTPqRNr8tdQNq8dJ\nO/cre64K9iv5gQRU9Ypt//xeaqazzW3qP49Ri8xhXW3/io4hVau4VJv7//uYAoMC9fLlUsexPka5\n96kqUHTZnMwvFwJFhcDly+bC2sfv3+I5MAiIqGmeze3jAxgMgMHHfJ9/ABAQBAQEmLcZfMwL+Vt+\nfABjGBAeCQSF8GtIIqq2hGKAuKEbcEM3yzb1i0zILzIh7n9Ix8iI3JNXFsmiZYprjuuSo3q2ECeP\nzZJSAsVF5mL58j9F86W/gTOnIfNygeLif37+KazzL5mXTcrPB4qLIIuLzJeELfkpugycP2fepyDf\nXHz7+Jh/gkIgrqlnLsJ9/f758QV8/c3/+vkBgcHmtUmNYYCfP+Dja35sYBCEr5/TnjdRdcAJ1O5H\ndOkD9Yn/QJ48BhHtvWPkybuVN4HaK4tk8lxCiH8KUV9z8QoAqAlcU9/hDyny8mWg+J+e66IiIC8X\n8ughc/FcVAgU/lOUX8izFOny4t+Q5/PMhfblwn97vvMvAsYaQK06ELXqAGERELH1gVp1gJq1IfwD\nHG0KIo/DVTzcjwgMguh8M+TaZRDDxukdDpEuyvvgziKZ6B/C19fcQ1yiRgREXMMqHUuqxcCZHCDn\nOOTJ48C5s1A3rgFMZ4GCSxDXdwQia5p7omPrA9F1zecnItKY6NoX6uSRkKdPQkRF6x0OkdtgkUzk\nAkIxADVrm3uNmyRb3Sf/3Av5v93A8SOQ502QazKB3DPm/cOjzLPNm7cB4q+FMNq+zCwRkbOI4BCI\n1F6Qaz+FuGe03uEQuQ0WyUQaEw0TIRomWm2T+ReBU8eB3DOQxw5DXfsJcPggRIcuEAOGsZeZiFxK\ndOsH9alRUMMjIG7oDhEeqXdIRLrzmouJXDlhhIvYa4eLqledvHAe6ruvANn7IFq2A+IamifWhEcB\nkTVtLoXM0nljAAAgAElEQVTH9taOsy4m4q1X3GMe1o6971V59C/IjWsgt28GGiZC1GsERNU25526\n8RABga4PthpgHtaWKy8m4jVF8pWYnLXDZOE4efwI5K7twNFDkKeOAWdPm9eo7nErRL1rgZg4yx8v\ntrd2eMU9xzAPa6ey71VZkA/5yzbgxBHg1AnIk0eB44eAiJpATDxE7brmeRS16wK1r4EICnZh9J6H\neVhbvOIekRcTda6BqHON5baUEtj3G9SvVkL+8DVw4jAQHArRuBkKWraFjKgFUf9aHSMmb3Hq1Cks\nXLgQ586dg6IomDVrFvz9/fUOixwk/AMg2qVabZNFRcCJw5DHDgMnjgJZP0H9ehVw8hiQ2AxK935A\nQlOuNU/VCotkIg8jhAAaN4Phn0vJlqykIXdsRtFvP0H9/Veg4BJQIxKifgLQuBlEYnOIsHCdI6fq\nZsGCBbjzzjuRmJiICxcuwJdj56st4eNjXmrzmvpW22VBAeTWb6EuWQgUF0G0vgGiR39OOqZqgUUy\nkYcrWUlD3HwHgo1G5OXlAedNwNnT5pU0dv4AufR183Jzic2ApNYQye0gfFjQUNUdPnwYPj4+SEw0\nT0INDuZX7t5I+PubV8a4qSdw+ADkV6ugvj4XysSZ5qubEnkwjkkml+LYLG2V195SSuDoQcg//we5\nbSNw7DBEi7YQrdoD1zaBCArRPlgP5+1jkrdv345NmzZBVVWcPXsWKSkp6N+/v92PZx7WjpZ5WKrF\nUF+eAXFNfSi3D9PknO6Gf/e0xTHJROQQIcS/X5Wm9oI8fRLypx/NYwrfeg6oXReiZVuI9l0gImvp\nHS55AFVVsXfvXsyfPx+hoaGYNWsWGjZsiObNm+sdGulIKAYo9z0EddZEFB8+ANGoCURKJ4iatfUO\njajSWCQTeSERFQ3R41agx63my3Fn74PcthHq0xMgml1v/qNW6iIoVL3s2bMHq1atQnZ2NnJzczFq\n1Ch06tTJap/169dj5cqVMJlMiI2NxbBhwyzDKyIiItCgQQNEREQAAJKTk3Hw4EEWyQRhDIUy5UVg\n/x7Ivbugzn4YaJgIpestQGJzTu4jj8EimcjLCV9fICEJIiEJMi0d8v+2QH39GaBRE4jWHczDMkI4\nCae6KSgoQHx8PFJTU7FgwYIyhcuWLVuQkZGBESNGIDExEevWrcPs2bPx/PPPIyoqCg0bNkReXh4u\nXLiAwMBA/P777+jevbtOz4bcjQgKAVq0hWjRFvLWeyC3fQv1o7eAvFzzUnLhURDhUUB45D9XGo0G\nYutBBATpHTqRBYtkIrIQETUhuveDTOkEmfUz5M9bIT96CyI5BaJtqrkXyIdpozpITk5GcrL524LX\nXnutzP2rV69G586d0aVLFwDA8OHD8euvv2LDhg0YPHgwDAYD7rzzTkydOhVSSrRo0QKtWrXS9DmQ\nZxD+/hA39YLs2BPIMwG5p81XF809bV73/eghqDnHgWOHIFp1gLixu3kIWGgNvUMnL8e/dkRUhjCG\nQaR0AlI6QeaZIL/IhLpyKbDkNYjOaRDX38Cxy9VYUVERsrOz0bdvX6vtzZs3x759+yy3W7ZsiZYt\nW2odHnkoIQQQFm7+qXctSg+6kBcvQH75OdRPM8wXMml4HUSDxpaLl6BWDATX4SYNsUgmogqJ0BoQ\nd/7HvELG779A7vge6swJQL1GEI2bQdzQjT0+1UxeXh5UVUWNGtava1hYGHbv3l3p42VlZSErK8ty\nOz09HUaj0eE4yT5+fn6e0d5GI3D3AwAAmX8Jl3f+gOJDB6D+9COKjx+CevI4lOgY+Pe6DUrNaIjA\nYIgaETDUqqNz4NY8pr2rCWe0d2ZmpuX3pKQkJCUlAWCRTER2EkIATZIhmiRD3jYU+HOPefzy1LEQ\nySnmq221ag/hx54esnblH50SXCJLOx67JFmLduYfAAKAohYDe3ch//uvIC+cBy5dBHKOQ7TrBNGi\nLRAWDhETp2/M8OD29lCOtrfRaER6errN+7ymSC7pySivIYjIfsIYCrRMgWiZAnnyGOSeXyC3fmse\nv9yhC0RaOkQwe1LskZmZabOI1FNoaCgURYHJZLLabjKZEB5e9Ss3Mg+TI4RisHxQLyHP50GuWgp1\n9cfAqeNA/WuhDBsHEcSL25D9ysvDXlMku9sfIaLqQkTHQETHAJ1vhjyTA7niA6hPPgBl/HSI+EZ6\nh+f23LFg9PHxQYMGDbBr1y6kpKRYtu/evdvqdmUxD5OzCWMoxOB/hmhcvgy57B2ojwwDatYGoqKh\ndOkD0YTj5qliXt+TTESuJyJrQgwfD/WHr6C+/gyUoQ9CJHLdXHeUn5+PEydOADBfkTEnJwcHDx5E\nSEgIoqKikJaWhldffRWNGjVCQkICvvzyS5hMJi7zRm5L+PpCDB4J2f8e4NQxyKOHoC56HqLPQIjU\n3hCKoneI5GEM06ZNm6Z3EFrjWCHt+Pv7o7CwUO8wvIa7tLeIawCEhUO+/xpQXGSeyW4w6B2WUzmj\nrfWc3PO///0PTz31FL766isUFxdjz549+Oqrr3DhwgW0adMGsbGxMBqNWL58OVavXo2ioiKMHTsW\ncXFVH/OZlZWFjRs3IikpiXlYQ+6SF7QifH0hakRAxNaHaNkOcuWHkF9+DlG3HkSU61fl8bb21puj\n7W00Gi0T92rVsn5/CCmldCg6D3Ts2DG9Q/AanMCgLXdrb3niKNSlrwNnTkH571TzsIxqwhltHRNT\nfdqjspiHteNueUFrUkrg5x+hfvgmlKdegAit+rh6e3h7e2vN0fauKA/zuwcichlRuy4ME2dCtO8C\n9ZnHUPzabMijh/QOi3SSlZVltdQSkRaEEOaLlHS6GeqcRyFNZ/QOidxMZmam1TKVJdiTTC7FT9Ta\ncuf2loUFkBvXQq77FIhvBOXOERC1PLcnlT3JjmEe1o475wWtqV9kQm7bBGX0E+aLlLgA21tb7Ekm\nIo8n/Pyh9LgVyjPvQCQ0hTr7EahrP9U7LCLyIuLmOyA6dIGa8RK8sI+QKolFMhFpSvj6Quk9AMrk\n5yA3fgH1qxWQRUV6h0VEXkAIAdHjVgCA/PBNyPyLOkdE7oxFMhHpQtSsDWX8dMhdO6FOexBy9//p\nHRK5GMckkzsQigHK2CeBPBPUWQ9D7vzefFGk4mK9QyOdcEzyFTgWTjscm6UtT2xvKSWQ9RPUjJch\nUjpDDBhqvgS2m+OYZMcwD2vHE/OCVtRtmyC3bQKOHwbO5QL1EyBatIVokADRqEmVjsn21pYrxyTz\nYiJEpCshBNC0NZSnXoT6whTIP/dC6XUb0LyNRxTLROS5lHapQLtUAIAsyAf27jJ/u/XNaojU3lB6\nD9A5QtITi2QicgsiLBzKlBcht26C+kkG8MNXUO4ZA2EM0zs0IvICwj8AaNEWokVbyLOnob7wFNT8\nS1D63613aKQTjkkmIrchFAOUDl3MC/6HRUCdMgbq6o8gL1/WOzRyAo5JJk8hIqKgPPoM5NZvIH/d\nrnc45GIck3wFjoXTDsdmaau6tbc8eQzqh28AlwuhTJgB4eOrd0gWHJPsGOZh7VS3vKAl+cfvUF+b\nDWXiDIhr6tv1GLa3trhOMhF5JREdA+XBKYB/INQXp0GeydE7JCLyIqLRdRAD74f63JMofmka5E8/\ncslKL8IimYjcmjAYoIx6HKJBY6jTxkJd+ykvAkBEmlHapZovgtQ2FeqXK6A+fj/U5e9D5pzQOzRy\nMU7cIyK3J3z9IG4bAnljd6ivzITcnwXDf6foHRYReQnh5w/RvjPQvjPksUOQmzdAnf0wEFsfok1H\nc49znVi9wyQn85qeZE4YIfJ8olYdKFNfAk4cgfrxIsiCAr1Dclh5E0aqI+Zhqg5ETByUgfdDmfcO\nxI3dgb27oD47GcUvTYc8nK13eFQFnLh3BU4Y0Q4nMGjLW9pbms5CfW02RFQ0xPDxukzo48Q9xzAP\na8db8oKeZP5FyM1fQn65AoZatSH73gU0ug5C8Zq+SN1w4h4R0RVEjQgoE2dAFhZAfXIU5NFDeodE\nRF5MBARB6d4Pyty34NuqA9SMl6C+NA3qiqWQp0/qHR5VEYtkIvJIIiAIhrFPQvQaAPW5yVzLlIh0\nJxQDAvrdCWXKSxDtOgF5uVBfmAr1h68h8y/pHR5VEifuEZFHUzr1hqwbD/WtZyFOHoXo1o9fcRKR\nrkRAIESHLpDtO0P8sg3q16sgd+2A8sBjEELoHR7ZiX9JiMjjiWubQHn4acidP0C+8wKkquodEhER\nhBAQySlQRj4GHNwP+eEbkJcu6h0W2YlFMhFVC6JWDJSHZkGezYH67BOQ2fv1DolK4eoW5K2EMRTK\nw7Mgz5mgvjlf73CoFK5ucQXOqtYOZ1Vri+0NyOJiyB++gvx8CcSAoVBu6OaS83B1C8cwD2uHeUFb\nFbW3LC6G+tQoiOtaAI2aQCQ0hYisqXGE1QtXtyAispMwGKDc1BPKI3Mg1yyDunwJr9BHRG5BGAxQ\nHp0LRNUGdu2AOnM81MxFkAX5eodGNnDiHhFVS6LONVAeewbqvEmAjw/QZyAnzBCR7kSNCIjeAwAA\n8kwO5OfvQ31oCJDYHMqIRyD8/XWOkEqwJ5mIqi0RWgPKhOmQO7+H/Jw9ykTkXkRkTSj3TYTybAag\nKFDfeAby4gW9w6J/sEgmompNRNaCMn46ZNbPkO8vgFSL9Q6JiMiKCAgy9yIHBkNdOAfSdEbvkAh2\nFsmnT5+GamNJJSklTp8+7fSgiIicSYRHmpeIO/oX5PrP9Q6nypiLiaov4esLce84iDqxUKf9F8UL\n57JXWWd2FcljxoyxOXPw/PnzGDNmjNODIiJyNhEQBGX4BMj1n0Hu+03vcKqEuZioehM+PlAGj4Qy\n41VALYY6/UHz5ONjh/QOzSs5NNyioKAAfn5+zoqFiMilRHQMlOHjoS6cC3XjGr3DcRrmYqLqRYSG\nQ3ngcSj3PQRc+hvqjPGQv/2kd1hep8LVLd555x3L7x9++KFVElZVFX/88Qfi4+NdFx0RkZOJ5m2g\nPDwL6gtToJ46DnH7MAjFoHdYFaouuTgrKwtZWVlIT0/XOxQitycMBiAhCSIhCbJJMtRFzwHX1IfS\nsz+Q1Iqr9ThRZmYmkpKSkJSUZLW9wiL50KF/u/ePHj0KH59/d/fx8UGDBg1wyy23ODlUIiLXEnXj\noUx9Ger8JyCatwESm+sdUoWqSy629UeIiK5OtGwHpfFbkD9tgfrhmxD1EoBBIyCMoXqHVi2U98Hd\nrivuLViwAPfeey+CgoKcHpgeeKUn7fBKT9pie1eOuv4zyB3fQ3noaYjAyuU3Pa64V51yMfOwdpgX\ntOXq9pYFBZDLFkH+sg3KPWOBpGQIH++97IUrr7jHy1KTSzE5a4vtXTmyuBjy47cgs36GMm4aRK06\ndj+Wl6V2DPOwdpgXtKVVe8tdO6CuWApcLoQyfjpERJTLz+mOXFkk2/XRo7CwEGvWrMHu3buRl5dn\ntQSREALPPvtslYMjItKLMBggBj8AdeNaqHMehuh/D5SbeukdVrmYi4mohGjeBobmbaCuWQZ12liI\nlM4QA4ZC+AfoHVq1YVeR/Pbbb2PHjh1ISUlB48aNre7jwHEi8nRKp96QjZtCnfc4ZO1rIBKa6h2S\nTczFRFSacvMdkCmdoWa8BPniNCh3joCIa6h3WNWCXUXyjh07MGHCBDRv7t6TW4iIqkrUiYUybBzU\nN5+FMnEGREyc3iGVwVxMRLaIiCgoY5+E/GY11GcnQ3TrB9HjVoiAQL1D82h2Fcn+/v6IinKvsS4F\nBQWYMGEC2rdvj3vuuUfvcIioGhAt2kJcOA/11aehTH4OItiod0hW3C0XjxkzBkFBQRBCICQkBFOm\nTNE7JCKvJfz8IXoNgExuDzVzEeSUMVAmzoSoXVfv0DyWXRcT6du3L1avXg13muP32WefISEhgV8x\nEpFTKR26QrRoC3XRC26V8wD3zMVPP/005s2bxwKZyE2I6BgYHnwKovftUOc9DvWHryDVYr3D8kh2\n9STv2rULe/fuxS+//IJrrrkGiqJACAEpJYQQeOyxx1wdp5Xjx4/j2LFjaN26NQ4fPqzpuYmo+hMD\nhkHOGAe55WuIG7rpHY6Fu+ViAG5VsBPRv5TON0PWjYf64RvAgX3AHfdy+EUl2VUkG41GtGnTxuZ9\nevTkvv/++xgyZAj27t2r+bmJqPoTPj5Q0odD/XgRZNtUCF9fvUMC4H65WAiBqVOnQlEUpKWl4cYb\nb9Q8BiIqn0hIgjJxJtQ35kFO/y+Ue8dDJPCCPvayq0geM2aMq+Ow244dOxATE4PatWuzSCYi10lq\nBdT9EnLZOxCDR+odDQD3ysUAMHPmTISHh8NkMmHmzJmIi4tDXJz7TXgk8mbCGAbDw7Og/vgt1Jem\nAc1aQ7l7NEQIr9Z3NZpfomXPnj1YtWoVsrOzkZubi1GjRqFTp05W+6xfvx4rV66EyWRCbGwshg0b\nhsTERADA/v378cMPP+DHH39Efn4+iouLERQUhAEDBmj9VIioGhNCQBk8EuqUsZCpvSHqVq/iz9Fc\nDADh4eEAgBo1aiA5ORkHDhxgkUzkppT2nSFbtoNc9SHU2Q9DGTgCaNYKQjHoHZrbsqtIfuihh8ps\nu3IcXGUWsC8oKEB8fDxSU1OxYMGCMl8RbtmyBRkZGRgxYgQSExOxbt06zJ49G88//zyioqIwePBg\nDB48GACwceNGHD58mAUyEbmECA2HuPkOqEtfN1+6WrFrrrPLuFMuLigogKqqCAwMRH5+Pn777Td0\n6NDB4edIRK4jAoMg0u+DvDYJ6qcZwLpPoAz6D0Q811W2xa4iuV27dla3i4uLcfDgQezbtw89evSo\n1AmTk5ORnJwMAHjttdfK3L969Wp07twZXbp0AQAMHz4cv/76KzZs2GApjq/E1S2IyJVEt1sgf9kK\n+e0XEF1v0TUWd8rFJpPJUpSrqopu3bqhQYMGVXlaRKQxkZwCpUUbyG/XQn3+SfPV+voMgjByCMaV\n7CqS09PTbW5fsWIFTp8+7bRgioqKkJ2djb59+1ptb968Ofbt21dm/9JfDRIROZtQDFAGjoD6/FOQ\nbTpChNbQLRZ3ysXR0dGYP3++085JRNoSigGiax/IFm2gLlsM+e7LUB54DMLHPSYquwOHxiS3a9cO\njz/+OO677z6nBJOXlwdVVVGjhvUfobCwMOzevbtKx8zKykJWVpbldnp6OoxG97pAQHXm5+fH9tYQ\n29tFmrbEpS5pUJe/h+CxkwE4r60zMzMtvyclJSEpqfIzz909FzMP64t5QVse195GI+T4KbjwwjTI\nl2cg6P4JMNSN1zsquzmjvcvLww4Vyb///jv8/f0dCszVbP3ROX/+vE7ReB+j0cj21hDb23VkrwFQ\np/8X575ZC6XNjU5pa6PRWG7vcGW4ey5mHtYX84K2PLW95YhHIL9bj/NT/wvRs7/50tY+mq/vUGmO\ntndFediuZz937lzL5JASubm5OHjwIG6//fYqB1ZaaGgoFEWByWSy2m4ymSyzqImI9CD8A6DcNQrq\nBwshW7fXJQZPz8UlPcrO+GBARM4lfH3Nwy8SkqB+shjyl21Q7n8IIipa79BcLjMz0+aHebsvJnJl\nYhZCIDY2FoMHD0aLFi2cFqSPjw8aNGiAXbt2ISUlxbJ99+7dVreJiHTRpCUQHgW57jNg4HDNT+/p\nubiqw0mISDsitj6UcdMg1y+H+szjEOn3QWlTvS8U5FBPsjMXsM/Pz8eJEycAmC9nmpOTg4MHDyIk\nJARRUVFIS0vDq6++ikaNGiEhIQFffvklTCYTunfv7tB52YNBRI4SQkC5ezTU+ZMg+9/tlGOW14Nh\ni6fnYuZhIs8gFAWi9wDIeo2gLlkIddcOiLtHQ7jxsC5HlJeHhbzye7urOHnyJI4cOQIhBOrWrYvo\n6Mp3wWdlZWHGjBlltqempmL06NEAgA0bNmDFihUwmUyIi4vD0KFDrRawd9SxY8ecdiyqmKeOzfJU\nbG9tFD87GUFd01CQ7Ni6wDExMVV6XHXIxczD2mFe0FZ1a2956SLkkoWQOcehjJ0MEepew18dbe+K\n8rBdRfLFixexcOFCbN++3bIusZQS7dq1w6hRoxAYGFjl4PTA5Kyd6pYs3B3bWxvqtk0wbN8E+eAU\nh45T2SK5OuVi5mHtMC9oqzq2t1RVyE8zIDetg7ihG0T6fRAG97hSnyuLZLsuH5WRkYFDhw5h6tSp\nWLJkCZYsWYIpU6bgr7/+wuLFi6scGBGRJxLNWqNo/x7IwgJNz+vpuTgrK8tqqSUi8gxCUaDcMRzK\nnLchD/wP6jOPQR7O1jssp8nMzLRaprKEXUXyzp07MXLkSDRp0gQ+Pj7w8fFBUlISRo4ciR07djg9\nWCIidyaCQmCIawj8sUfT83p6Lk5KSuJ4ZCIPJoyhUB6bC3Fjd/MFln7aondITpGenm5zXohdRXJh\nYaHNhZpDQkJw+fJlx6PTAHswiMiZfK5tAvnn/xw+Tnk9GLZUh1xMRJ5N+PhCuaknlDFPQH1vAdTN\nG1CJ6W0exa4iuXHjxvj444+Rn59v2Zafn4/MzEw0btzYZcE5E3swiMiZfBKbQh5wvEgurwfDluqQ\ni4moehCNmkAZPw1yw3LI5e9BFhXpHZLT2TVx79ChQ5g1axYKCgoQHx9v2ebn54fJkycjLi7O5YE6\nEyeMaKc6TmBwZ2xv7QSdPYXzL82AYfqrVT5GZSfueXouvnIJOOZh7TAvaMvb2lvmnID67ivA33lQ\n7psIEVtf0/M7Y+Kew0vA5efn4/vvv8fRo0cBANdccw06duwIPz+/KgemFyZn7XhbstAb21s7IQYF\n5x64DcqryywrTVRWVZaAqy65mHlYO8wL2vLG9pZSQm75BnLZOxA33w6lR3/Nzu3K1S3supjI0qVL\nUbNmzTKLyG/YsAFnz57FoEGDqhwcEZEnEkHBgDAAly4CQcGanJO5mIjckRAC4oaukNc2gTr3UagG\nH4jU3hA+dpWZbsuuMcmbN29G/fplu88bNGiATZs2OT0oIiKPEB4JnD2l2emYi4nInYladaCMnw65\n/Tuocx6GzN6nd0gOsatIzsvLQ2hoaJntISEhOHfunNODcgWubkFEThcRBZjOOnSIyqxu4em5mHmY\nqPoTcQ3My8SldIb6wlSo36yGVIv1DqtC5eVhu/rBIyMjsWfPHtSqVctq+969exEZGemcCF3M1oBs\nIiJHiLBwSNNZVG1EslllVt3x9FzMPEzkHYRigOjeD7JpK6jvL4D88Vso902AqH2N3qHZVF4etqtI\n7t69O959910UFRWhadOmAIDdu3dj6dKl6Nevn/OiJCLyJCGhwAXtJugwFxORJxF1YqE8PBty01qo\ncx+DMvJRiOta6B2W3ewqkm+55RacP38eixcvRtE/6+D5+Pjg5ptvZmImIu8VEAjkX9LsdMzFRORp\nhKJAdE6DrFkb6pvzoIyeDHFtE73DsovdS8AB5qWHjhw5AgCoW7cuAgMDXRaYK3HpIe1441I4emJ7\na8doNOLcp+8BuWegDLy/SseoyhJwQPXIxczD2mFe0Bbbu3zypy1Ql74J0b0vlJ63OeWYrlwCzq6J\neyUCAgLQqFEjNGrUyCOTMhGRUwUEadqTbDmth+ZiTtwj8m6iVQcok+ZDrvsU8ughvcOxcGjiHhER\n2aDxcAtPx4l7RCQia0LcnA71xSkQfQZB3NSzyhdkcpbyJu5VqifZk7EHg4icTYQYIc87tvRaZZaA\nIyKqDpTu/aCMfAxy/WeQGz7XO5xyeU1PMnswiMjpgkOBSxccOkRlloAjIqouRKProDw0C+ozj0E1\nnYHofTtEaA29w7LiNT3JREROFxQMXHSsSCYi8lYisiaUJ+YDhQVQpz0I+ccevUOywiKZiKiqWCQT\nETlE1IiEcs8YKMPHQ31tDtS1n6ASC6+5FItkIqKqCggC8i+6TUJ3d5wbQkTlEU1bQ3l8HuTOHyDf\nfg7SdEazc5c3N4RFMhFRFQmDAfD15woXdkpKSuIYbCIql6hVB8pDM4FgI9T5T0DmalMop6en25y3\nxiKZiMgRgUEOT94jIiIzERQCced/INp1grpwDuTlQt1iYZFMROSIwCCOSyYiciIhBMQtgyCioiHf\nW6DbkDavKZI5Fo6IXMLByXtcJ5mIqCwhBMTQ/0IePwy5/jNdYuA6yUREjggMBi5drPLDOUaXiMg2\n4e8PZfQkqHMegerrD6VrH03P7zU9yUREriACAiHzq14kExFR+URETSiPzIFckwl1yzeanptFMhGR\nI3x8gOJivaMgIqq2RK06UEY/AbliCeTO7zU7L4tkIiJHKAZAZZFMRORKomEilGHjoH7wOqQDQ9wq\ng0UyEZEjDAb2JNuJE6iJyBHiuhYQ198A9cWpkE5cVYgXEyEicgWDD1BcpHcUHoEXEyEiR4nBD0Bc\nUx9y6etOOyYvJkJE5ArsSSYi0owQAuK2IZC7dkKeyXHpuVgkExE5wsAxyUREWhLBIRA9+0Nd/CKk\nCzspWCQTETnCYACKONyCiEhLovcAQFGQn/mOy87hNUUyJ4wQkUsYHFsCjlfcIyKqPKEYoAz7Lwq/\nWgWZf8kl5+AV94iIHGEwAJer3pPMiWxERFUjImpCXFMP8s+9QFKy04/vNT3JREQu4eWrWxQUFGD0\n6NF4//339Q6FiLyQT5MWkPtd820ci2QiIkd4+cVEPvvsMyQkJEAIoXcoROSFDPENIf/6wyXHZpFM\nROQIL14C7vjx4zh27BhatmwJKaXe4RCRF/JJSgb++N0lq1ywSCYicoQXD7d4//33cdddd+kdBhF5\nMcUYBoRHAUcOOv/YTj8iEZE38dKe5B07diAmJga1a9fWOxQi8nKiQWPIg/udflyvWd2CiMglPLRI\n3rNnD1atWoXs7Gzk5uZi1KhR6NSpk9U+69evx8qVK2EymRAbG4thw4YhMTERALB//3788MMP+PHH\nH3BecNUAABBMSURBVJGfn4/i4mIEBQVhwIABOjwbIvJqYRHAeZPTD8simYjIER5aJBcUFCA+Ph6p\nqalYsGBBmYl3W7ZsQUZGBkaMGIHExESsW7cOs2fPxvPPP4+oqCgMHjwYgwcPBgBs3LgRhw8fZoFM\nRPoIDgFyTzv9sBxuQUTkCA8dk5ycnIxBgwYhJSXF5soUq1evRufOndGlSxfExMRg+PDhCA8Px4YN\nG2wej6tbEJFuQozA3+edflj2JBMROUAYDFA9sCe5IkVFRcjOzkbfvn2ttjdv3hz79u0rs3/pYRpE\nRFoSwaFQL7BIJiJyLwafardOcl5eHlRVRY0aNay2h4WFYffu3ZU+XlZWltWlt9PT02E0Gh2Ok+zj\n5+fH9tYQ21tbfn5+CKpZC5cuXahyu2dmZlp+v/IKzSySiYgcERAEEVrj6vt5sSv/6JQ4f975vT5k\nm9FoZHtriO2tLaPRiIs+vlBzz1Sp3Y1GI9LT023e5zVjkrOysqw+KRAROYNo3BTK0Aer/PjMzEyr\nXlZ3EBoaCkVRYDJZzxY3mUwIDw+v8nGZh4nIJQKDgYJLVX54eXnYa3qSbfVkEBHprbweDD35+Pig\nQYMG2LVrF1JSUizbd+/ebXW7spiHicgl/AKAgoIqP9zre5KJiOhf+fn5OHjwIA4ePAgpJXJycnDw\n4EGcPm1eRiktLQ0bN27EN998gyNHjmDx4sUwmUzo3r17lc/JnmQicgk/P6CoCFJVq/Rwr+9JJiKi\nf/3555+YMWOG5fayZcuwbNkypKamYvTo0ejQoQP+/vtvfPrppzCZTIiLi8OkSZMQFRVV5XOyJ5mI\nXEEIYS6UC/OBgKBKP768nmQWyUREXigpKQkff/xxhfv06NEDPXr00CgiIiIHBIcA5/OqVCSXh8Mt\niIhIExxuQUQuExgM5Fdt8h6HWxARka443IKIXMbHFyi6XKWHcuIeEREREVVPvn7A5UKnHpJFMhER\nERF5Nt+q9ySXh0UyERFpgmOSichlFAUo5hJwRETkgTgmmYhcRggAskoP5ZhkIiIiIqqmBCCrViSX\nh0UyEREREXk2IarakVwuFslERKQJjkkmIteqWpXMMclERKQrjkkmIpcRVR9uwTHJRERERFQ9OTBx\nrzwskomIiIjI83FMMhERERHRFRwYblEerymSOWGEiNxReRNGqiPmYSJyFREQCBiqNtWuvDwspHRy\n2e0Bjh07pncIXsNoNOL8+fN6h+E12N7acUZbx8TEOCkaz8M8rB3mBW2xvbXlaHtXlIe9pieZiIiI\niMheLJKJiIiIiEphkUxEREREVAqLZCIiIiKiUlgkExGRJri6BRG5I16WmoiIdMXLUhORO+JlqYmI\niIiI7MQimYiIiIioFBbJRERERESlsEgmIiIiIiqFRTIRERERUSkskomIiIiISmGRTERERERUCotk\nIiLSBC8mQkTuiBcTISIiXfFiIkTkjngxESIiIiIiO7FIJiIiIiIqhUUyEREREVEpLJKJiIiIiEph\nkUxEREREVIrHrW5x4cIFPP300yguLkZRURF69OiBXr166R0WEZFXYS4mourO44rkwMBATJ8+HX5+\nfigoKMDEiRPRoUMHhIaG6h0aEZHXYC4mourO44ZbKIoCPz8/AEBhYSF8fX3h6+urc1RERN6FuZiI\nqjuP60kGgIsXL2Lq1Kk4ceIE7r77bgQGBuodEhGR12EuJqLqzON6kgEgKCgI8+fPx6uvvor169fj\nxIkTeodEROR1mIuJqDrTvCd5z549WLVqFbKzs5Gbm4tRo0ahU6dOVvusX78eK1euhMlkQmxsLIYN\nG4bExMQyxwr7//buPyTuOo7j+Ov8cW3n1HMsMcszzB2htbrYH0HE2mARlKswRqyWtqDyWP5hsP4a\nLWcrdkQEbsGCNeivhKiVBTOo0Y/1RwW5dcNWm0Yj1pTztM0f7fTbH7WjO5057/x8v/f1+YCBfr93\nXz/fF7eXb7/enaWlqqur08DAgCoqKgydAQDkProYAOZm/Ery5OSkqqur1dzcLK/XK4/Hk7L/2LFj\nOnTokBobGxWJRBQMBrVnzx4NDQ1JkkZGRjQ+Pi7pn1/19fX1KRAImD4NAMhpdDEAzM34leRQKKRQ\nKCRJ2r9//4z93d3dWr9+vTZs2CBJ2rZtm3p7e9XT06MtW7ZocHBQBw4ckGVZ8ng8amhoUGVlpdFz\nAIBcRxcDwNwc9cK9RCKh/v5+bdq0KWX7mjVrdOrUKUlSbW2t9u7dO+9jRqNRRaPR5OebN2+myA0r\nLi62ewlLCnmbk42su7q6kh/X19ervr4+42NmKttdTA/bj14wi7zNyjTvK/Wwo164Nzo6qunpafn9\n/pTtpaWlisfjCzpmfX29Nm/enPz33yAWW6Zf62rvP5/bz3WbK+2b7/bZbkfe5J2t+zst72xl/d9+\ncsKALGW/i+3sYcl5j9WF7p/v//nFeqzOF3m7N+9Me3iu/XbmfaUedtSQ7DaZfsO72vvP5/Zz3eZK\n++a73e5v8ORtFnkjVzjtsbrQ/bNtn+82k8jbLJN5Z9rDc+13Yt6OGpJLSkqUl5c340pFPB5XWVmZ\nTataOKcVxf/dJteHCPI2i7zdiy7O7P4MbeRtEkPy4nHUkFxQUKCamhodP348ZfuJEycUDAaz8jXs\nfjAvNeRtFnmb4+asF7uL3ZydE5G3WeRt1mLmnb9r165di3b0WUxMTOjs2bOKx+P67LPPVFVVJZ/P\np0QiIZ/Pp+XLl6urq0tlZWUqLCzUe++9p76+PrW0tMjn82X89cvLy7NwFpgv8jaLvM3J9azt7OJc\nzy7XkLdZ5G3WYubtsSzLWrSjzyIajaq9vX3G9nXr1ikcDkuSenp6dPjwYcXjcQUCATU1Nc36BvYA\ngIWhiwFgbsaHZAAAAMDpHPWcZAAAAMAJGJIBAACANI76i3t2+v777/XOO+/Isiw9+OCDyT/FisUR\niUR08uRJ3XrrrWpra7N7Oa42NDSkzs5OjY6OKj8/X42NjbrzzjvtXpZrXbx4UR0dHZqamlIikdC9\n996r++67z+5l5Qy62Cy62By62Jys9bAFK5FIWK2trVYsFrPGx8et1tZW688//7R7Wa4WjUat7777\nznrttdfsXorrDQ8PWwMDA8mPn3nmGWtyctLmVbnX1NRUMt+JiQkrHA5bIyMjNq8qN9DF5tHF5tDF\n5mSrh3m6haRffvlFVVVVKisr07JlyxQKhdTb22v3slytrq5Oy5Yts3sZS4Lf71d1dXXy4+LiYl24\ncMHmVblXXl6evF6vJOmvv/5SYWGhCgsLbV5VbqCLzaOLzaGLzclWD/N0C0nDw8NauXJl8vOVK1cq\nFovZuCJgcZw5c0aWZaU83pF9Y2NjevHFF3Xu3Dk9/vjjWr58ud1Lygl0MZYKunjxZaOHuZIMLBEX\nLlzQvn379PTTT9u9FNfz+XyKRCLq7OzUkSNHdO7cObuXBMAh6GIzstHDrriSfPLkSX300Ufq7+/X\n8PCwWlpadM8996Tc5siRI/rwww8Vj8dVVVWl5ubm5Jvip1+tiMViWr16tclTyCmZ5n2Zx+MxuOrc\nlY28L126pEgkooceeihrf+LdrbL1+Jak0tJS1dXVaWBgQBUVFYbOwD50sVl0sVl0sTlO6WFXXEme\nnJxUdXW1mpub5fV6Z/yHP3bsmA4dOqTGxkZFIhEFg0Ht2bNHQ0NDkqSbbrpJv/32m2KxmCYmJvTD\nDz/otttus+NUckKmeV9m8Xds5iXTvC3L0r59+3TLLbfo7rvvtuMUckqmeY+MjGh8fFzSP7/u6+vr\nUyAQMH4edqCLzaKLzaKLzXFKD7viSnIoFFIoFJIk7d+/f8b+7u5urV+/PvlWQtu2bVNvb696enq0\nZcsW5efna+vWrXrppZeSbzu0YsUKo+eQSzLNW5J2796tX3/9VZOTk2ppaVFbWxtXjK4g07x/+ukn\nffPNN7rxxhv17bffSpKee+45VVVVmTuJHJJp3oODgzpw4IAsy5LH41FDQ4MqKyuNnoNd6GKz6GKz\n6GJznNLDrhiS55JIJNTf369NmzalbF+zZo1OnTqV/Hzt2rVau3at6eW5znzz3rlzp+mludJ88r75\n5pv17rvv2rE815lP3rW1tdq7d68dy3M0utgsutgsutgckz3siqdbzGV0dFTT09Py+/0p20tLSxWP\nx21alXuRt1nkbRZ5LxzZmUXeZpG3OSazdv2QDAAAAFwt1w/JJSUlysvLm/HTRTweV1lZmU2rci/y\nNou8zSLvhSM7s8jbLPI2x2TWrh+SCwoKVFNTo+PHj6dsP3HiBG+/sgjI2yzyNou8F47szCJvs8jb\nHJNZu+KFexMTE8k3ibYsS4ODgxoYGNCKFSu0atUq3X///ers7FRtba2CwaA+/fRTxeNxbdy40eaV\n5ybyNou8zSLvhSM7s8jbLPI2xylZeywXvEFiNBpVe3v7jO3r1q1TOByWJPX09Ojw4cOKx+MKBAJq\namqa9U2n8f/I2yzyNou8F47szCJvs8jbHKdk7YohGQAAAMgm1z8nGQAAALhaDMkAAABAGoZkAAAA\nIA1DMgAAAJCGIRkAAABIw5AMAAAApGFIBgAAANIwJAMAAABpGJKBLOvq6tLzzz9v9zIAYMmih5EN\nDMkAAABAGoZk4F+JRMLuJQDAkkYPw0kK7F4AYJddu3bphhtukNfr1RdffKFrr71Wd911l44ePao/\n/vhDRUVFuv322/XEE0/I5/NJko4ePaqDBw9qx44devvtt3X+/HnV1taqpaVF5eXls36doaEhdXR0\nKBgM6tlnn1VeHj+bAoBED8PZeJRgSfvyyy/l8XjU3t6u7du3Ky8vT08++aRef/11tba26vTp0zp4\n8GDKfS5duqQPPvhA4XBYL7/8ssbGxvTWW2/NevyzZ89q586duuOOOxQOhylmAEhDD8OpuJKMJa28\nvFxbt25Nfn799dcnP161apUee+wxRSIRbd++Pbl9enpaTz31lK677jpJUkNDg958880Zx/7555/1\n6quv6oEHHtDDDz+8iGcBALmLHoZTMSRjyfJ4PKqpqUnZ9uOPP+r999/X77//rrGxMU1PTyuRSCge\nj8vv90uSCgoKksUsSX6/X4lEQhcvXlRRUZEkKRaLqaOjQ4888ogaGhrMnRQA5BB6GE7GkIwl7Zpr\nrkl+PDg4qFdeeUUbN27Uo48+quLiYp05c0ZvvPFGyotJ8vPzU47h8XgkSZZlJbeVlJSovLxcX3/9\ntTZs2JAsbQBAKnoYTsUTc4B/nT59WlNTU2pqatLq1atVUVGhWCy2oGMVFhZqx44dKioqUkdHh8bG\nxrK8WgBwH3oYTsKQjCXrv1ccJKmyslKWZenjjz/W+fPn9dVXX+mTTz5Z8LELCwv1wgsvyOfzaffu\n3RQ0AKShh+FkDMlYsi7/eu6yQCCg5uZmdXd3q62tTZ9//nnKi0mudL/Z9l++jdfrTRY0VzIAIBU9\nDCfzWOk/xgEAAABLHFeSAQAAgDQMyQAAAEAahmQAAAAgDUMyAAAAkIYhGQAAAEjDkAwAAACkYUgG\nAAAA0jAkAwAAAGkYkgEAAIA0fwNFXK8CT8y61QAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "%pylab inline --no-import-all\n", + "plt.style.use('ggplot')\n", + "\n", + "def plot_data_figs():\n", + " figure, axes = plt.subplots(1, 2, figsize=(10,4), sharex=True, sharey=False)\n", + " unique_friends = sorted([len(d.keys()) for d in brand2counts.values()], reverse=True)\n", + " axes[0].plot(unique_friends)\n", + " axes[0].set_xscale('log')\n", + " axes[0].set_yscale('log')\n", + " axes[0].set_title('number of unique neighbors', size=16)\n", + "\n", + " brcounts = sorted([sum(d.values()) for d in brand2counts.values()], reverse=True)\n", + " print 'total friend links:', sum(brcounts)\n", + " axes[1].plot(brcounts)\n", + " axes[1].set_xscale('log')\n", + " axes[1].set_yscale('log')\n", + " axes[1].set_title('number of neighbor links', size=16)\n", + " axes[1].set_xlim((0,1500))\n", + " axes[0].set_xlabel('rank', size=14)\n", + " axes[1].set_xlabel('rank', size=14)\n", + " axes[0].set_ylabel('count', size=14)\n", + " axes[1].set_ylabel('count', size=14)\n", + " figure.tight_layout()\n", + " plt.savefig('data.pdf', bbox_inches='tight')\n", + "\n", + "plot_data_figs()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " (0, 0)\t20.0\n", + " (0, 1)\t15.0\n", + " (0, 2)\t18.0\n", + " (0, 4)\t1.0\n", + " (0, 5)\t3.0\n", + " (0, 6)\t3.0\n", + " (0, 9)\t3.0\n", + " (0, 10)\t1.0\n", + " (0, 11)\t8.0\n", + " (0, 13)\t6.0\n", + " (0, 14)\t5.0\n", + " (0, 15)\t3.0\n", + " (0, 17)\t6.0\n", + " (0, 18)\t3.0\n", + " (0, 19)\t1.0\n", + " (0, 20)\t1.0\n", + " (0, 24)\t3.0\n", + " (0, 26)\t16.0\n", + " (0, 27)\t2.0\n", + " (0, 28)\t1.0\n", + " (0, 29)\t2.0\n", + " (0, 31)\t3.0\n", + " (0, 32)\t1.0\n", + " (0, 33)\t1.0\n", + " (0, 34)\t4.0\n", + " :\t:\n", + " (0, 46553)\t5.0\n", + " (0, 46554)\t1.0\n", + " (0, 46555)\t18.0\n", + " (0, 46556)\t3.0\n", + " (0, 46559)\t1.0\n", + " (0, 46562)\t4.0\n", + " (0, 46565)\t3.0\n", + " (0, 46567)\t2.0\n", + " (0, 46568)\t4.0\n", + " (0, 46573)\t1.0\n", + " (0, 46577)\t1.0\n", + " (0, 46580)\t2.0\n", + " (0, 46583)\t8.0\n", + " (0, 46584)\t2.0\n", + " (0, 46587)\t1.0\n", + " (0, 46592)\t1.0\n", + " (0, 46604)\t3.0\n", + " (0, 46613)\t1.0\n", + " (0, 46618)\t1.0\n", + " (0, 46621)\t3.0\n", + " (0, 46622)\t4.0\n", + " (0, 46631)\t3.0\n", + " (0, 46640)\t2.0\n", + " (0, 46642)\t1.0\n", + " (0, 46648)\t2.0\n" + ] + } + ], + "source": [ + "# Normalize data and create sparse matrix.\n", + "import numpy as np\n", + "from numpy import array as npa\n", + "from sklearn.feature_extraction import DictVectorizer\n", + "from sklearn.feature_extraction.text import TfidfTransformer\n", + "from sklearn.preprocessing import scale\n", + "\n", + "brand_ids = npa(brand2counts.keys())\n", + "vec = DictVectorizer()\n", + "X = vec.fit_transform(brand2counts.itervalues())\n", + "print X[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "177997246 total friend links\n", + " (0, 0)\t0.000156586416128\n", + " (0, 1)\t0.000117439812096\n", + " (0, 2)\t0.000140927774516\n", + " (0, 4)\t7.82932080642e-06\n", + " (0, 5)\t2.34879624193e-05\n", + " (0, 6)\t2.34879624193e-05\n", + " (0, 9)\t2.34879624193e-05\n", + " (0, 10)\t7.82932080642e-06\n", + " (0, 11)\t6.26345664514e-05\n", + " (0, 13)\t4.69759248385e-05\n", + " (0, 14)\t3.91466040321e-05\n", + " (0, 15)\t2.34879624193e-05\n", + " (0, 17)\t4.69759248385e-05\n", + " (0, 18)\t2.34879624193e-05\n", + " (0, 19)\t7.82932080642e-06\n", + " (0, 20)\t7.82932080642e-06\n", + " (0, 24)\t2.34879624193e-05\n", + " (0, 26)\t0.000125269132903\n", + " (0, 27)\t1.56586416128e-05\n", + " (0, 28)\t7.82932080642e-06\n", + " (0, 29)\t1.56586416128e-05\n", + " (0, 31)\t2.34879624193e-05\n", + " (0, 32)\t7.82932080642e-06\n", + " (0, 33)\t7.82932080642e-06\n", + " (0, 34)\t3.13172832257e-05\n", + " :\t:\n", + " (0, 46553)\t3.91466040321e-05\n", + " (0, 46554)\t7.82932080642e-06\n", + " (0, 46555)\t0.000140927774516\n", + " (0, 46556)\t2.34879624193e-05\n", + " (0, 46559)\t7.82932080642e-06\n", + " (0, 46562)\t3.13172832257e-05\n", + " (0, 46565)\t2.34879624193e-05\n", + " (0, 46567)\t1.56586416128e-05\n", + " (0, 46568)\t3.13172832257e-05\n", + " (0, 46573)\t7.82932080642e-06\n", + " (0, 46577)\t7.82932080642e-06\n", + " (0, 46580)\t1.56586416128e-05\n", + " (0, 46583)\t6.26345664514e-05\n", + " (0, 46584)\t1.56586416128e-05\n", + " (0, 46587)\t7.82932080642e-06\n", + " (0, 46592)\t7.82932080642e-06\n", + " (0, 46604)\t2.34879624193e-05\n", + " (0, 46613)\t7.82932080642e-06\n", + " (0, 46618)\t7.82932080642e-06\n", + " (0, 46621)\t2.34879624193e-05\n", + " (0, 46622)\t3.13172832257e-05\n", + " (0, 46631)\t2.34879624193e-05\n", + " (0, 46640)\t1.56586416128e-05\n", + " (0, 46642)\t7.82932080642e-06\n", + " (0, 46648)\t1.56586416128e-05\n" + ] + } + ], + "source": [ + "# Normalize by row.\n", + "from sklearn.preprocessing import normalize\n", + "print '%d total friend links' % X.sum()\n", + "X = normalize(X, norm='l1', axis=1)\n", + "print X[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "X = X.toarray() # ElasticNet implementation requires dense matrix!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Add text features." + ] + }, + { + "cell_type": "code", + "execution_count": 204, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# read a map from userid->feature vector, one per follower.\n", + "import gzip\n", + "from itertools import groupby\n", + "import json\n", + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "import re\n", + "import string\n", + "\n", + "def tokenize(text, lc=True, collapse_hashtags=False, collapse_mentions=False,\n", + " collapse_urls=True, limit_repeats=True, collapse_digits=True,\n", + " retain_punc_toks=False, rt_prefix=False, tokpairs=False):\n", + " punc_re = '[' + re.escape(string.punctuation) + ']'\n", + " text = text.lower() if lc else text\n", + " if collapse_hashtags:\n", + " text = re.sub('#\\S+', 'THIS_IS_A_HASHTAG', text)\n", + " else:\n", + " text = re.sub('#(\\S+)', r'HASHTAG_\\1', text)\n", + " if collapse_mentions:\n", + " text = re.sub('@\\S+', 'THIS_IS_A_MENTION', text)\n", + " else:\n", + " text = re.sub('@(\\S+)', r'MENTION_\\1', text)\n", + " if collapse_urls:\n", + " text = re.sub('http\\S+', 'THIS_IS_A_URL', text)\n", + " if limit_repeats:\n", + " text = re.sub(r'(.)\\1\\1\\1+', r'\\1', text)\n", + " if collapse_digits:\n", + " text = re.sub(r'[0-9]', '9', text)\n", + " toks = []\n", + " for tok in text.split():\n", + " tok = re.sub(r'^(' + punc_re + '+)', r'\\1 ', tok)\n", + " tok = re.sub(r'(' + punc_re + '+)$', r' \\1', tok)\n", + " for subtok in tok.split():\n", + " if retain_punc_toks or re.search('\\w', subtok):\n", + " toks.append(subtok)\n", + " if rt_prefix:\n", + " rt_text = 'rt' if lc else 'RT'\n", + " if rt_text in toks:\n", + " toks.remove(rt_text)\n", + " toks = ['RT_' + t for t in toks]\n", + " if tokpairs: # make pairs of tokens, order independent.\n", + " toks = [a + '__' + b for (a, b) in combinations(sorted(toks), 2)]\n", + " return toks\n", + "\n", + "def parse_json(json_file, idfield='id_str'):\n", + " \"\"\" Yield screen_name, text tuples from a json file. \"\"\"\n", + " if json_file[-2:] == 'gz':\n", + " fh = gzip.open(json_file, 'rb')\n", + " else:\n", + " fh = io.open(json_file, mode='rt', encoding='utf8')\n", + " for line in fh:\n", + " try:\n", + " jj = json.loads(line)\n", + " if type(jj) is not list:\n", + " jj = [jj]\n", + " for j in jj:\n", + " yield (j['user'][idfield].lower(), j['text'])\n", + " except Exception as e:\n", + " sys.stderr.write('skipping json error: %s\\n' % e)\n", + "\n", + "def extract_tweets(json_file, idfield='id_str', min_tweets=10):\n", + " \"\"\" Yield screen_name, string tuples, where the string is the\n", + " concatenation of all tweets of this user. \"\"\"\n", + " for screen_name, tweet_iter in groupby(parse_json(json_file, idfield), lambda x: x[0]):\n", + " tweets = [t[1] for t in tweet_iter]\n", + " if len(tweets) >= min_tweets:\n", + " yield screen_name, ' '.join(tweets)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "follower_json = 'data/follower_tweets.json.gz'\n", + "follower_ids = []\n", + "text_vec = TfidfVectorizer(tokenizer=tokenize,\n", + " min_df=20,\n", + " binary=True,\n", + " use_idf=False,\n", + " norm=None)\n", + "# Sneaky way to append to follower_ids while looping through json file (to avoid looping twice):\n", + "X_followers = text_vec.fit_transform(text for theid, text in extract_tweets(follower_json)\n", + " if not follower_ids.append(theid))" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "59431 followers\n", + "feature matrix shape: (59431, 112642)\n" + ] + } + ], + "source": [ + "print('%d followers' % len(follower_ids))\n", + "print('feature matrix shape: %s' % str(X_followers.shape))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# save or load text data\n", + "import cPickle\n", + "cPickle.dump((text_vec, X_followers, follower_ids), open('data/text_data.pkl', 'wb'))\n", + "# (text_vec, X_followers, follower_ids) = cPickle.load(open('data/text_data.pkl', 'rb'))" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "follower2vec = dict((fid, row) for fid, row in zip(follower_ids, X_followers))" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "avg n followers=412.547\n" + ] + } + ], + "source": [ + "# Read list of followers of each brand.\n", + "from collections import defaultdict\n", + "from scipy.sparse import csr_matrix, vstack\n", + "\n", + "def make_follower_vecs(fname, follower2vec, text_vec):\n", + " # map each brand to a list of term vectors for its followers\n", + " # the vector\n", + " brand2followers = dict() # brandid -> set of followerids\n", + " n_followers = []\n", + " for line in open(fname, 'rt'):\n", + " parts = line.split(',')\n", + " brandid = parts[1]\n", + " vecs = [follower2vec[p] for p in parts[2:] if p in follower2vec]\n", + " n_followers.append(len(vecs))\n", + " if len(vecs) > 0:\n", + " vecs = vstack(vecs)\n", + " brand2followers[int(brandid)] = csr_matrix(vecs.mean(axis=0))\n", + " else:\n", + " brand2followers[int(brandid)] = csr_matrix((1, len(text_vec.vocabulary_)))\n", + " print('avg n followers=%.3f' % np.mean(n_followers))\n", + " return brand2followers\n", + "\n", + "brand2followers = make_follower_vecs('data/brand_followers.csv', follower2vec, text_vec)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "text feature matrix has shape: (1072, 112642)\n" + ] + } + ], + "source": [ + "# Densify matrix, for ElasticNet\n", + "# X_followers = X_followers.toarray()\n", + "X_text = vstack([brand2followers[b] for b in brand2counts]).toarray()\n", + "print('text feature matrix has shape: %s' % str(X_text.shape))" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Clear unused variables.\n", + "X_followers = None\n", + "brand2followers = None" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## We're now ready to perform regression." + ] + }, + { + "cell_type": "code", + "execution_count": 689, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Populating the interactive namespace from numpy and matplotlib\n" + ] + } + ], + "source": [ + "# Do cross-fold validation for different demographics.\n", + "%pylab inline --no-import-all\n", + "from scipy.stats import pearsonr\n", + "from sklearn.cross_validation import KFold\n", + "from sklearn.feature_selection import f_regression\n", + "from sklearn.linear_model import ElasticNet, Lasso, MultiTaskElasticNet, MultiTaskElasticNetCV, Ridge, RidgeCV\n", + "from sklearn.metrics import mean_squared_error\n", + "\n", + "def plot_scatter(preds, truths, ylabels):\n", + " for yi, ylabel in enumerate(ylabels):\n", + " pr = [p[yi] for p in preds]\n", + " tr = [t[yi] for t in truths]\n", + " plt.figure()\n", + " plt.scatter(tr, pr)\n", + " plt.xlabel('truth')\n", + " plt.ylabel('pred')\n", + " corr = pearsonr(pr, tr)\n", + " plt.title('%s r=%.2f (%.2g)' % (ylabel, corr[0], corr[1]))\n", + " plt.show()\n", + " \n", + "def print_top_feats(m, feature_names, labels, n=10):\n", + " for yi, ylabel in enumerate(labels):\n", + " print 'Top Coefficients for', ylabel\n", + " coef = m.coef_[yi]\n", + " srted = np.argsort(coef)\n", + " topi = srted[::-1][:n]\n", + " boti = srted[:n]\n", + " print 'pos:' + ' '.join('%s (%.2g)' % (n, c) for n, c in zip(feature_names[topi], coef[topi]))\n", + " print 'neg:' + ' '.join('%s (%.2g)' % (n, c) for n, c in zip(feature_names[boti], coef[boti]))\n", + "\n", + "def get_yvalues(ylabels, demo):\n", + " return npa([float(demo[yl][:-1]) for yl in ylabels])\n", + "\n", + "def get_correlations(preds, truths, ylabels):\n", + " results = []\n", + " for i, y in enumerate(ylabels):\n", + " pr = [p[i] for p in preds]\n", + " tr = [t[i] for t in truths]\n", + " results.append(pearsonr(pr, tr)[0])\n", + " return results\n", + "\n", + "outputs = {'Politics': ['Democrat', 'Republican'],\n", + " 'Education': ['No College', 'College', 'Grad School'],\n", + " 'Children': ['No Kids', 'Has Kids'],\n", + " 'Income': ['$0-50k', '$50-100k', '$100-150k', '$150k+'],\n", + " 'Gender': ['Male', 'Female'],\n", + " 'Age': ['18-24', '25-34', '35-44', '45-54', '55-64', '65+'],\n", + " 'Ethnicity': ['Caucasian', 'Hispanic', 'African American', 'Asian']}\n", + "\n", + "def get_model():\n", + " #return Ridge(.1)\n", + " #return ElasticNet(alpha=1e-5, l1_ratio=0.5)\n", + " return MultiTaskElasticNet(alpha=1e-5, l1_ratio=0.5)\n", + " #return MultiTaskElasticNetCV(l1_ratio=0.5)\n", + " \n", + "def do_cv(X, outputs, feats, brand_ids, n_folds=5, model_f=get_model, verbose=True):\n", + " # Labels grouped together for use by MultiTaskElasticNet.\n", + " correlations = []\n", + " category_results = {}\n", + " for category, ylabels in outputs.items():\n", + " indices = [i for i, bid in enumerate(brand_ids) if len(set(ylabels) & set(id2brand[bid]['demo'].keys())) == len(ylabels)]\n", + " print 'predicting', ylabels, 'for', len(indices), 'brands'\n", + " y = npa([get_yvalues(ylabels, id2brand[brand_ids[bid]]['demo']) for bid in indices])\n", + " thisX = X[indices]\n", + " preds = []\n", + " truths = []\n", + " if n_folds > 0:\n", + " cv = KFold(len(y), n_folds, shuffle=True, random_state=123456)\n", + " for train, test in cv:\n", + " m = model_f()\n", + " if verbose: print('fitting on %d training and %d testing instances' % (len(train), len(test)))\n", + " m.fit(thisX[train], y[train])\n", + " pred = m.predict(thisX[test])\n", + " preds.extend(pred)\n", + " truths.extend(y[test])\n", + " m = model_f()\n", + " m.fit(thisX, y)\n", + " if hasattr(m, 'alpha_'):\n", + " print 'alpha chosen=', m.alpha_, 'l1ratio chosen=', m.l1_ratio_\n", + " category_results[category] = {'preds': preds, 'truths': truths, 'model': m}\n", + " if verbose: plot_scatter(preds, truths, ylabels)\n", + " if verbose: print_top_feats(m, feats, ylabels)\n", + " #correlations.append(np.mean(get_correlations(preds, truths, ylabels)))\n", + " correlations.extend(get_correlations(preds, truths, ylabels))\n", + " print 'average correlation=', np.mean(correlations)\n", + " return correlations, category_results" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "fol_feats = npa(vec.get_feature_names())\n", + "text_feats = npa(text_vec.get_feature_names())\n", + "all_feats = np.concatenate((fol_feats, text_feats))\n", + "X_both = np.hstack((X, X_text))" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicting ['Male', 'Female'] for 198 brands\n", + "alpha chosen= 2.27089999824e-05 l1ratio chosen= 0.5\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Male\n", + "pos:51263592 (2.7e+02) 26257166 (2.4e+02) 2557521 (2.2e+02) 28870086 (1.9e+02) 10671602 (1.9e+02) 32765534 (1.8e+02) 18927441 (1.7e+02) 36362259 (1.7e+02) 13213122 (1.7e+02) 32135704 (1.6e+02)\n", + "neg:15846407 (-3.5e+02) 19397785 (-3.5e+02) 21324258 (-2.3e+02) 25087685 (-2.2e+02) 15131310 (-2.2e+02) 38531995 (-2.1e+02) 106837463 (-1.9e+02) 20710809 (-1.8e+02) 11522502 (-1.8e+02) 25589776 (-1.8e+02)\n", + "Top Coefficients for Female\n", + "pos:15846407 (3.5e+02) 19397785 (3.5e+02) 21324258 (2.3e+02) 25087685 (2.2e+02) 15131310 (2.2e+02) 38531995 (2.1e+02) 106837463 (1.9e+02) 20710809 (1.8e+02) 11522502 (1.8e+02) 25589776 (1.8e+02)\n", + "neg:51263592 (-2.7e+02) 26257166 (-2.4e+02) 2557521 (-2.2e+02) 28870086 (-1.9e+02) 10671602 (-1.9e+02) 32765534 (-1.8e+02) 18927441 (-1.7e+02) 36362259 (-1.7e+02) 13213122 (-1.7e+02) 32135704 (-1.6e+02)\n", + "average correlation= nan\n", + "CPU times: user 8.12 s, sys: 229 ms, total: 8.35 s\n", + "Wall time: 8.62 s\n" + ] + }, + { + "data": { + "text/plain": [ + "([nan, nan],\n", + " {'Gender': {'model': MultiTaskElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001,\n", + " fit_intercept=True, l1_ratio=0.5, max_iter=1000, n_alphas=10,\n", + " n_jobs=1, normalize=False, random_state=None,\n", + " selection='cyclic', tol=0.0001, verbose=0),\n", + " 'preds': [],\n", + " 'truths': []}})" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Find best ElasticNet params on small subset.\n", + "outputs_g = {'Gender': ['Male', 'Female']} # just search for gender.\n", + "sample_size = 200\n", + "\n", + "def get_model_cv():\n", + " return MultiTaskElasticNetCV(l1_ratio=0.5, n_alphas=10)\n", + "\n", + "# For followers\n", + "%time do_cv(X[:sample_size], outputs_g, fol_feats, brand_ids[:sample_size], n_folds=0, model_f=get_model_cv)" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicting ['Male', 'Female'] for 198 brands\n", + "alpha chosen= 0.0145983148674 l1ratio chosen= 0.5\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Male\n", + "pos:nice (4.5) man (4.2) point (3.9) fuck (3.5) bro (3.4) shit (3.4) guy (3.3) guys (3.2) dude (3.2) david (3.2)\n", + "neg:her (-7.6) cute (-5.6) girls (-5.4) baby (-4.6) family (-4.6) omg (-4.6) she (-4.5) hair (-4.4) excited (-4.3) girl (-4.2)\n", + "Top Coefficients for Female\n", + "pos:her (7.6) cute (5.6) girls (5.4) baby (4.6) family (4.6) omg (4.6) she (4.5) hair (4.4) excited (4.3) girl (4.2)\n", + "neg:nice (-4.5) man (-4.2) point (-3.9) fuck (-3.5) bro (-3.4) shit (-3.4) guy (-3.3) guys (-3.2) dude (-3.2) david (-3.2)\n", + "average correlation= nan\n", + "CPU times: user 7min 44s, sys: 1.89 s, total: 7min 46s\n", + "Wall time: 7min 50s\n" + ] + }, + { + "data": { + "text/plain": [ + "([nan, nan],\n", + " {'Gender': {'model': MultiTaskElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001,\n", + " fit_intercept=True, l1_ratio=0.5, max_iter=1000, n_alphas=10,\n", + " n_jobs=1, normalize=False, random_state=None,\n", + " selection='cyclic', tol=0.0001, verbose=0),\n", + " 'preds': [],\n", + " 'truths': []}})" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# For text\n", + "%time do_cv(X_text[:sample_size], outputs_g, text_feats, brand_ids[:sample_size], n_folds=0, model_f=get_model_cv)" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicting ['Male', 'Female'] for 198 brands\n", + "alpha chosen= 0.0145983148674 l1ratio chosen= 0.5\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Male\n", + "pos:nice (4.5) man (4.2) point (3.9) fuck (3.5) bro (3.4) shit (3.4) guy (3.3) guys (3.2) dude (3.2) david (3.2)\n", + "neg:her (-7.6) cute (-5.6) girls (-5.4) baby (-4.6) family (-4.6) omg (-4.6) she (-4.5) hair (-4.4) excited (-4.3) girl (-4.2)\n", + "Top Coefficients for Female\n", + "pos:her (7.6) cute (5.6) girls (5.4) baby (4.6) family (4.6) omg (4.6) she (4.5) hair (4.4) excited (4.3) girl (4.2)\n", + "neg:nice (-4.5) man (-4.2) point (-3.9) fuck (-3.5) bro (-3.4) shit (-3.4) guy (-3.3) guys (-3.2) dude (-3.2) david (-3.2)\n", + "average correlation= nan\n", + "CPU times: user 10min 45s, sys: 2.56 s, total: 10min 47s\n", + "Wall time: 10min 53s\n" + ] + }, + { + "data": { + "text/plain": [ + "([nan, nan],\n", + " {'Gender': {'model': MultiTaskElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001,\n", + " fit_intercept=True, l1_ratio=0.5, max_iter=1000, n_alphas=10,\n", + " n_jobs=1, normalize=False, random_state=None,\n", + " selection='cyclic', tol=0.0001, verbose=0),\n", + " 'preds': [],\n", + " 'truths': []}})" + ] + }, + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# For text + followers\n", + "%time do_cv(X_both[:sample_size], outputs_g, all_feats, brand_ids[:sample_size], n_folds=0, model_f=get_model_cv)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicting ['Male', 'Female'] for 1066 brands\n", + "fitting on 852 training and 214 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n" + ] + }, + { + "data": { + "image/png": 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Ks1QwqFBVZeell05SW2vhrbds3HxzGKdTx+mMMmhQIC0v5kwXtPyy0il8ImcI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\n67kFzc5SSm0CbgWGgTIMa2QX8N+BBVrro0qpucBerfX8cS5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RlFamkNnk8N5PSuHHwWBAlYUsy4XAVuByQAXuBA4BPweKgL8AsqIobQMpl0Aw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\njy24u+MOH+eeC9XVHu66q5SZMwMx0+3MWoZ//mdvTL1EXZ2P6mpPjDy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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Male\n", + "pos:51263592 (3.6e+02) 26257166 (3.3e+02) 2557521 (3.1e+02) 28870086 (2.5e+02) 1344951 (2.5e+02) 10671602 (2.4e+02) 32765534 (2.4e+02) 19426551 (2.3e+02) 36362259 (2.2e+02) 13213122 (2.2e+02)\n", + "neg:15846407 (-6.2e+02) 19397785 (-5.5e+02) 21324258 (-4e+02) 106837463 (-3.7e+02) 11522502 (-3.4e+02) 20710809 (-3.3e+02) 15131310 (-3.3e+02) 38531995 (-3.2e+02) 25589776 (-3.1e+02) 25087685 (-3.1e+02)\n", + "Top Coefficients for Female\n", + "pos:15846407 (6.2e+02) 19397785 (5.5e+02) 21324258 (4e+02) 106837463 (3.7e+02) 11522502 (3.4e+02) 20710809 (3.3e+02) 15131310 (3.3e+02) 38531995 (3.2e+02) 25589776 (3.1e+02) 25087685 (3.1e+02)\n", + "neg:51263592 (-3.6e+02) 26257166 (-3.3e+02) 2557521 (-3.1e+02) 28870086 (-2.5e+02) 1344951 (-2.5e+02) 10671602 (-2.4e+02) 32765534 (-2.4e+02) 19426551 (-2.3e+02) 36362259 (-2.2e+02) 13213122 (-2.2e+02)\n", + "predicting ['18-24', '25-34', '35-44', '45-54', '55-64', '65+'] for 1072 brands\n", + "fitting on 857 training and 215 testing instances\n", + "fitting on 857 training and 215 testing instances\n", + "fitting on 858 training and 214 testing instances\n", + "fitting on 858 training and 214 testing instances\n", + "fitting on 858 training and 214 testing instances\n" + ] + }, + { + "data": { + "image/png": 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veY/5HCMjKR55ZJIf/cgs5087LZ2buKPRNBdc4Mu9LqRc6Y6RkSSnnhrg0UeN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\nV5/oYG4xrVwls50JPRBwZ1IHAjapFC6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F+N3vvEXnnn9+kmhU8OlPF7f76KP9zJ6tTg9eysBsf6Zuab0reU6VUup7NdZA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\nyBuZrQI8SeVqXGVvUB0rRTTqZc2aliJj8nvfm2T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Wn/tcYUL93OdMxBCYZLeFCwvRUQsXZjzJbuGw7Wso5ISVRiI2a9aM8tOfGo2x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\n25shhFIqBjwCXKW1Hnbva9b9ysn0cE6mEZp8r7T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WF9lBCBXJOnlXrEiwYkWCBx88MeV2W5sIE9uVaTJpVmBNJv1X/tnEuz17woyN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\nHDzYxrJl3mecOTPtm59h00zH1jdy+LD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GHNJa668D3wNer7V+SWv9UeDzwBVa6+eBd+UfCxWk2aM2kskw27aNl5fYti1K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\nOWX09KQd0VVTLaA9PWkWLvT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P/2woKcf9lreMsnBhsuRat97alo+OOnGigcceG3Bcq68vwrPPNudNQVddlWbZ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\n13YEGRgAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for 18-24\n", + "pos:18927441 (85) 10671602 (85) 29758446 (83) 14922225 (73) 36803580 (72) 24742040 (70) 15234657 (66) 39538010 (62) 5162861 (61) 7157132 (59)\n", + "neg:428333 (-1.1e+02) 1367531 (-86) 51241574 (-82) 30313925 (-66) 759251 (-64) 28785486 (-64) 3108351 (-63) 15012486 (-61) 15224867 (-60) 2467791 (-59)\n", + "Top Coefficients for 25-34\n", + "pos:6480682 (83) 22027186 (71) 31080039 (68) 23544596 (67) 1344951 (58) 169686021 (55) 14089195 (54) 972651 (52) 2735591 (51) 16303106 (51)\n", + "neg:1367531 (-1.3e+02) 428333 (-1.1e+02) 28785486 (-84) 51241574 (-81) 15012486 (-80) 759251 (-78) 10228272 (-72) 30313925 (-70) 14173315 (-68) 15754281 (-67)\n", + "Top Coefficients for 35-44\n", + "pos:428333 (38) 813286 (25) 51241574 (24) 16331010 (24) 2557521 (23) 816653 (23) 759251 (22) 19426551 (20) 14372486 (20) 51263592 (20)\n", + "neg:5162861 (-34) 36803580 (-32) 29758446 (-30) 10671602 (-30) 14922225 (-29) 39538010 (-29) 18927441 (-29) 24742040 (-27) 10228272 (-26) 309366491 (-26)\n", + "Top Coefficients for 45-54\n", + "pos:1367531 (83) 428333 (82) 51241574 (65) 3108351 (56) 759251 (55) 28785486 (55) 15012486 (52) 30313925 (51) 14173315 (49) 15754281 (48)\n", + "neg:18927441 (-49) 10671602 (-48) 29758446 (-45) 169686021 (-41) 24742040 (-39) 23561980 (-38) 6480682 (-38) 15234657 (-37) 14922225 (-37) 22027186 (-36)\n", + "Top Coefficients for 55-64\n", + "pos:1367531 (76) 428333 (66) 51241574 (60) 28785486 (51) 3108351 (50) 15012486 (49) 30313925 (49) 759251 (47) 14173315 (45) 2467791 (43)\n", + "neg:18927441 (-41) 10671602 (-39) 169686021 (-37) 29758446 (-37) 27195114 (-35) 24742040 (-34) 6480682 (-33) 23561980 (-32) 15234657 (-32) 14922225 (-32)\n", + "Top Coefficients for 65+\n", + "pos:1367531 (51) 51241574 (38) 3108351 (38) 428333 (37) 14669951 (34) 65493023 (33) 41634520 (33) 10168082 (32) 30313925 (31) 2467791 (31)\n", + "neg:169686021 (-21) 6480682 (-21) 18927441 (-20) 27195114 (-19) 23151437 (-17) 10671602 (-17) 23561980 (-17) 90420314 (-17) 1344951 (-17) 18713254 (-16)\n", + "predicting ['$0-50k', '$50-100k', '$100-150k', '$150k+'] for 1043 brands\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 835 training and 208 testing instances\n", + "fitting on 835 training and 208 testing instances\n" + ] + }, + { + "data": { + "image/png": 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WTDWZ5D20tblQVeXFZZfRfauri7FuXRDXXJNZZdbeypHJfoMVriA4nEGKmX9gz54I4nFa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\nVLu5mlkzsBxY6+7nm9lw4CngKGAVYO7+cQVPFUw31+6E1PU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z67ExuPfeFu66y47muf32Vt74RneSQmsrbNmS5LLL7IF1y5Ykra35/e3tlicS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\nBgnC1CEriCamGTKQqxFpVWxFJi1JBaG2yApCqBn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TtihX6rOcyShbm1C3nYaTonNTfq+8Yu/utnOnc3c3J+XlptD8ltX2QyZDof82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\nmpgaEomgTfFUioTyah6JxTJs2ZIoczK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iVhIyTJ8eZ9kyu3A8/LBdbJJJd7TxRRfZmIbC9s2bo9x7b0+eB1Nra5xIxM+0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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for $0-50k\n", + "pos:10228272 (1.5e+02) 10671602 (1.3e+02) 18927441 (1.2e+02) 29758446 (1.2e+02) 27195114 (1.1e+02) 23151437 (1e+02) 14922225 (1e+02) 23561980 (98) 24742040 (98) 15234657 (95)\n", + "neg:3108351 (-1.8e+02) 807095 (-1.3e+02) 2467791 (-1.2e+02) 51263592 (-1.2e+02) 5988062 (-1.2e+02) 51241574 (-1.1e+02) 91478624 (-1.1e+02) 2557521 (-1.1e+02) 120943272 (-1.1e+02) 26257166 (-1.1e+02)\n", + "Top Coefficients for $50-100k\n", + "pos:51263592 (48) 428333 (48) 26257166 (47) 2557521 (45) 120943272 (44) 51241574 (42) 15485441 (42) 1367531 (40) 19426551 (39) 5392522 (37)\n", + "neg:10671602 (-56) 29758446 (-53) 10228272 (-51) 18927441 (-49) 27195114 (-47) 14922225 (-45) 23561980 (-44) 15234657 (-43) 24742040 (-42) 5162861 (-40)\n", + "Top Coefficients for $100-150k\n", + "pos:3108351 (59) 2557521 (45) 51263592 (44) 26257166 (44) 120943272 (41) 5988062 (41) 2467791 (39) 807095 (38) 91478624 (37) 51241574 (34)\n", + "neg:10228272 (-45) 10671602 (-38) 18927441 (-37) 23151437 (-36) 29758446 (-35) 27195114 (-34) 79293791 (-32) 23561980 (-31) 35787166 (-30) 35094637 (-30)\n", + "Top Coefficients for $150k+\n", + "pos:3108351 (90) 5988062 (69) 91478624 (60) 807095 (60) 34713362 (58) 14800270 (54) 2467791 (54) 816653 (49) 14677919 (47) 2735591 (44)\n", + "neg:10228272 (-52) 15846407 (-45) 21447363 (-38) 180505807 (-37) 23151437 (-37) 17919972 (-35) 10671602 (-35) 18927441 (-32) 29758446 (-30) 52551600 (-28)\n", + "predicting ['Democrat', 'Republican'] for 957 brands\n", + "fitting on 765 training and 192 testing instances\n", + "fitting on 765 training and 192 testing instances\n", + "fitting on 766 training and 191 testing instances\n", + "fitting on 766 training and 191 testing instances\n", + "fitting on 766 training and 191 testing instances\n" + ] + }, + { + "data": { + "image/png": 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boZxnmibBIEknfjBoUF9f7ynLYAx2zUr+300Q9/sm2Km13pmpbcmquSqlbgZ6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\ngkAAeExrfWOlyA+glPJjVRl4S2v9iQqT/U3gABA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Bmh1fsWNzHIeuLvt82jTo73e48soIyaRdxp92Woz6+jpaWupddbu63JN+NFpH\nOAyXXz48kV9+eRP33ruPG2/sz1E7HXoohMMB4nGVmdyvvjpCNBpgcFC5IqG3b3erJPx+H3/5S5NL\ncNxzjzty++GHFUo5rviKd72rkbq64T68//1xmpubUV7bmzESDnvfI6++TZ8+fL1a/m1C7Y8PIGX3\nTbPTGLOzUN1iBcRm4G6t9SrAp7U+HRsgt2mMHasD7gG+b4y5H8AY83rW+5uBB/I/lxrAzqyi1bWs\nJ6xlPWixY8tfZc+eHaO+vp4VK4ZX7vF4jL4+94r88MOTrtU/JHEc74n1kEMSfOtbYQAaGpI0Ng7Q\n0xPihhuGdyE33BDigQeinh5LgYDjEjKhUIxIxP3vlUx6TcxRIhF3PMepp8a4+OJhAXPxxU10dnaX\nZCfX3AybNjk5962hwZ1iJBqN0tc3fL1a/m3C5BifMea6YusXex7EOuAHwO1AHXAn8ENgQ7EX0lor\nbH6nZ4wxG7LKp2dV+xjwu2LbFGoTL3fUN98MZFbuXV0+Vqxooqcn4Fk3HocpU4aP9ZwyxSGZhI6O\nAZfbaXt7nOefr+Pzn2/m859v5vnn6+jpCeI4NiPskiWDLFkySFtbEsfxPsSntTXO7bfXZ85nuP32\nehIJaG+Pc+ONw3VvvLGfQw6Juz7f3l7Y5pHfh1Ji7UrddHZ2M3eutZsUchkWJiej7iC01gHsxL7U\nGLPxAK51BvBp4Lda6ydTZVcD/6i1noN1ff0zsPQAriHUKF7ZUQudpRCNKlfg2r337gPgbW+LZ3YL\nU6YkeOutgGunMHdujIYGh2uuieTsCtK5ltra4qxZM5B53toa5eqrI57uoW1tdVl1kySTsHr1sOvr\n6tUhtm8fQimrxrrhBmtYv/rqCKGQUzArbanIb288nBEmYoS+YCnWzXUPcIQxZvQ0l5VB3FyrFK+x\neU0QXobc3JiAfubN66OnJ8hPfxrK8ViaNy/Khz+c66La2WnzSi5Y0J5Tft99+/jYx3JdSR96qJdk\nEj7zmVxX2bvu6qOhIeFyR92+vSeTTTUYDNLcHM6MK7/u1q19LvfZdN+KrTvaRFrOCbfUv82RPKnG\nQ3DU8v8elM/NdT2wRmu9Op2wTxBKQX4m1jlz7Gq7oSGZWXk3NFjVyrx5fdx9t40uPuoo+14yCZs2\n1WdW5Js21XP22VFuvrmfK66wwuTmm+2ZCwmPIGalHNfKPZGwkc35rrKNjbaBL3xhKKd+enfT3h6l\npaWe7PnqSpclAAAgAElEQVSlp8fH5s0NgJ3gm5oSBU+qW7euP2eyLJQyfCSqyXV1pNQe1TSOWqZY\nAXEpMBW4XGv9BsPnRDjGmCPK0jOh5ti9O4Tfn2TaNPvaKxPrkUfaVeOf/lSXMTLH43D44Qn+9Kc6\n9uyxZW+91cR73mNVLvkTayIBX/vasBrna18LsXVrnKamhMt47Ti4znKIx2FgwG00njcvSkNDwqWS\nOueciOf4vCKT29qixON1rmR94K3eGUtkc63kUqqVcdQCxQqIT+N9upwEuE1yilUD5KqHfMyb11cw\nE6vPB0NDw+6dK1dGGBjw09Pjy4k/2Ls3xNSpEVeG1u7uIIcfnuADH7B9evllRSiUYHDQTzJJpt1V\nqwYAxfr1DRnVzvr1DXz3u3FiHsrUWEzhOO50HYODfs/xgXvSHy2eo1w2gVKoa7q7g4TDDs3N+91E\nDiMdfCRMDIr1YnoMOBdrrP5R6u8CbKCbMEnZtauJBQvaWbCg3ZXkrrs7mPlHzz6+s6vLx7JlTeze\nHSrouZOtNlq4MMqmTfUMDCiXF9PAgMr0IzvZXjAIF10U5ZJLmrnkkmYuuihKXZ2d4O+6K5jxNrrr\nriCO47B06RAPPhjkwQeDLF06RCDg0NDguDyQGhocmpsTrvJkEs/xpclO2Z2O8s6+XqHjSb0+P1o9\nLy+kkb6nYkm3cfbZzfvdhhf5nlQjjUOoPMUaqe8AZgNfB/4CHAFcAzxvjLmwrD30RozU40D2MZvd\n3UGXwTdtQM3XHx96qMM//VOzK89QY6PDCy/4efRRGyk8b16MWbMS1NUlXIbn006LuYzJO3b0Egq5\njcZbtoS56KJmV1ldncMf/xjI8UyaNSvhaveBB3ppaEiwZMkUPvMZOzHddVeQzZutJ1T+9TZvDrNk\niXt8HR0Drns40n0rFfnHrx7o9SrR50LXBTFSl5JyGak/ChxtjHkr9fpprfXjwJ+A8RAQQoXJzyp6\nwglDnvW89Mc//Wkvq1dHWL7cfj4dfxAO+3NUSSefHCceh1jM72l4Xr++P6eNmTMj9PQEXUbjQMDx\nyMXkEIt5RUHv8xxHe3uUyy8fcrmYeqk/mpsdrr02wuWX27q33NLPQQcN51za3yNH95daWW3Xyjiq\nmWJVTHuAxryyEPuRakOoPrxUROGwny1b9nHZZREuuyzCli37Cv5Dh8OK5cuHP798eRP79lnhcMUV\nw+VXXNHE0JDCcdxqmGgUNmwYDkbbsKGe7u4gvb3DcQxdXT5uuCFEPD586ltXl49160IEAuD3OH+n\nvt7hppuGVUY33WQ9nrq7g9xyy/D1brnFXq+9Pcr110cyfbv++gh+fyKTwqOry8fllzcRT8mHfPXO\nSOqTUqiC8imFukZUPpOXYncQd2FPlLsdeAWrYvoCsFVr/b50JWPMz0vfRWEi4vORk6so7Y3jZXhM\negQAR6Peu1zHsbaCfOP1PffEePnlAJdcYlfY06bZRuMeyVG93FmjUYXP57jObUgkYO3aYY+ntWtD\nfP/7fQwN+bnggmjG4+mCC6IMDfnp7g5mhCVY20P63Op8CnnjeBmey+m5UwpDd7oNG+chLqeThWJ3\nEP8bmAJcBXwT+ArQmirfkvUQahCv9BL19YmMN87ChVFWrmzKqEfyDY+NjW6Db2OjQ3Ozu7y52fEU\nKD4frjQZdXXQ0OC4TmJraHC4+ebhujff3E8gYFVM+cbvWExlYhU2b26gp8dHNKpQatiTatu2eoaG\nlKdRHezOJL8PPp/3kaHpsnzDcymPHPVirGdbF2ojO3GfUPsUZaSegIiRehzINlJ3dYX45S9zD9o5\n66wo06a501H39gb5058CxON2PRIIJDn66DhvvRXwNCa3tjr87neBHHvDO94R56qrGlm61No+Nm2q\nZ/XqCI2NDk88EeDpp+1m+Pjj45x4Ypz//u+6nHiH00+3K+innw5w5ZW23Ztu6ueYY+I89lgwx4Zx\n2mlR4nHledhPa2vcZUA/88won/50iyu62ufDVfe88yK0tbknaq+I8EJ1x5OJ+tssFbU+vnIZqQUh\nh2hUuQzJp51WOBPLvn3+nMhmiOPzuSONbZlyHdV5xx19fPaz1nUVrAdSfb3dbSgFxx1n9UpKweCg\nYs2aRtfkHgw61NUNB8XV1Tn4/TB1aiJTNnVqgrq6QlHX3pHb554bcQXrjXSMqBdtbVFmzw6weLHt\n8+zZsQknHITJhwgIoSjyvZje/va4R8oJ791oT08gY4wGuOKKJu69N0Fra9xlE5gyJc6bb7p/lvG4\n4utfHxYaX/96iDvvDFNf7xCNqpzdglcSv7TKaNmy5kw/tm2rZ/v2fa6yBx7opa7OYdWqAdautb4Z\nq1YNZARKfhI/v99bR9/dHWTduoaMq+y6dQ1s3lxY1TNnzgBHHGF3IWIEFiYCIiCEUcn2YgJrmL3n\nnn2ulBM//OHwDqIYd83e3gDbttWlIpptrMGpp8Y4+GDH5Rbb2Oh2XQWHwUF31LVSVn2UrUpqbY3T\n31+cTj8aVbS1xfH56jKrf58PQqEE4bA/k9ob4Pbb67nttjitre5cTD4fLF4cywiZtG1iJEQwCBMJ\nERDCfuFlSE6rZbwSra1f78+Z8Ds6Bti7N8Q11wyQSNhZ85prBmhocHjzzWG3WIDly5u4++59Ls+m\nhx6KMjDgVnWddFLM5Zl0111xGhsTrl1BMOj2bPL5rOoqX03V2TlIU1PCNek3NdmB56eiSCbxPPpU\nEKoFERCTmEKr/Pxy68UUyAkamzLFPbE2NDie7prbtzuZGAaw8QyHH57g4IPjhMP1OQFmodAQ4bDX\nSWzu/g8NKRoaHJYvH+TZZ+3uYPnyQRoavFVMbW1ROjqGz2eYPj3BlCkJV7K+KVMSntdL9yN/0j/v\nvEieUHQk+6hQE4iAmKQUSqdcqDw/1farr4ZcE2ssBnV19mCc9Or90UcD+HwOn/rU8Ko7ba94442A\n64xoYxI0Njrcckt/juBobHQLpPp6h0QCBgZyVUyAS0WllPUUeuGFQE4bhx2WZNq0ROYwoEMOSaDU\n2BLJ9ff7C8YwjCUbqyBMNERATEIKBWWln3tNdLlGaj9HHRXn1luHs6DeemsDW7fGMpHG2buNYFC5\n7BU7dsQKegoNDUE87mROfuvrg1gMWlqGz4jw+Rwcx3os5a/ojYm5vKC2bAkzOOi2eZx8cow33vBn\ndiDHHgtHHJGktdWeWJcWgGnDd3t7lI0b+3PGN9K5DeNxQpsglAoREMKo7N4dyqSdALjllnpuvz3O\nqlWRHENwc3PCM9L47rvd+Y7icQruFKJRxb/+a0NOorzbbusnkVBZE7mdlOvq3P2tq8Nl0K6rsxP8\nl740lNPnYNDx3IF0dwe56KIpOd5NnZ1WGOYfGXrPPUMj7hREMAjVSrGR1EIN4fNZNU868jd9Klp6\ndZwdMd3eHiUQsLr9F17w88ILfpYvHwTgttuGcxXddlu9544AbLxBfqRxXZ1Df7/ixz8O8P3v9/H9\n7/fx4x8H6O9XNDc7XH75EGvXNrJ2bSOXX25X8emJfNs2m/47Fhs+ES57LI7juHIxxWKKWGz4rOqu\nLh9XXmlzP+XXLWR/KEQyORw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RP+3tUdat6+fBB4M8+GCQdeusyqdQXAK43Usdx+0qOzio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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Democrat\n", + "pos:813286 (1.3e+02) 19397785 (1.2e+02) 14677919 (1e+02) 25110374 (98) 409486555 (94) 16129920 (92) 1339835893 (91) 18220175 (88) 27195114 (88) 17169320 (87)\n", + "neg:1367531 (-1.5e+02) 15976697 (-96) 14669951 (-95) 110445334 (-91) 17454769 (-90) 41634520 (-89) 26257166 (-88) 10168082 (-88) 2557521 (-85) 65493023 (-84)\n", + "Top Coefficients for Republican\n", + "pos:1367531 (1.7e+02) 15976697 (1e+02) 41634520 (1e+02) 110445334 (1e+02) 14669951 (97) 17454769 (97) 65493023 (96) 10168082 (95) 50055701 (95) 166270127 (93)\n", + "neg:813286 (-97) 14677919 (-93) 16303106 (-70) 158414847 (-69) 22027186 (-69) 1344951 (-68) 16129920 (-65) 19725644 (-64) 1339835893 (-61) 19697415 (-61)\n", + "predicting ['No College', 'College', 'Grad School'] for 1046 brands\n", + "fitting on 836 training and 210 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n" + ] + }, + { + "data": { + "image/png": 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rXdgCvYIYDiVE9UsAZ0IJkf0EwKi8SScQlBi5LtxmtRp9AjbU1ETwve8NAJBq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\nVUyuM1M+pKbyW3mn5xrW6z3MrDOPICZhJn6D7fU1TTTyaH8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tCdQriUs7v9t1vdphetXy8XqqzmTi+NjH2iymnp6evMWJXaxc9u+X+yYm7Oac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\n4rbbxvTEM6/Wn4BcYZjDTDs7C/oKY3z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3vx1g2zad7lq7uWq1z6pV0SLPpHhcT96lnkk+n+NylT333AQ+nzvy9/HHEyxb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\nbV+vAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for No College\n", + "pos:10228272 (1.9e+02) 10671602 (1.4e+02) 29758446 (1.3e+02) 24742040 (1.2e+02) 18927441 (1.2e+02) 21447363 (1.1e+02) 14922225 (1.1e+02) 15234657 (1.1e+02) 23151437 (1e+02) 36803580 (92)\n", + "neg:14677919 (-1.6e+02) 16303106 (-1.6e+02) 807095 (-1.5e+02) 5988062 (-1.4e+02) 3108351 (-1.4e+02) 5392522 (-1.3e+02) 972651 (-1.2e+02) 1344951 (-1.2e+02) 16017475 (-1.1e+02) 2735591 (-1.1e+02)\n", + "Top Coefficients for College\n", + "pos:16303106 (64) 1344951 (62) 115485051 (60) 972651 (59) 22027186 (55) 6480682 (51) 14075928 (49) 2735591 (48) 30364057 (47) 14353392 (46)\n", + "neg:10228272 (-78) 10671602 (-63) 29758446 (-59) 24742040 (-53) 14922225 (-49) 15234657 (-47) 18927441 (-47) 36803580 (-40) 39538010 (-38) 17092592 (-38)\n", + "Top Coefficients for Grad School\n", + "pos:807095 (1.3e+02) 3108351 (1.3e+02) 14677919 (1.2e+02) 5988062 (1.2e+02) 2467791 (1.1e+02) 5392522 (1e+02) 16017475 (95) 16303106 (91) 1339835893 (85) 1330457336 (81)\n", + "neg:10228272 (-1.1e+02) 10671602 (-78) 21447363 (-76) 29758446 (-69) 18927441 (-68) 23151437 (-66) 24742040 (-65) 180505807 (-65) 52551600 (-62) 22940219 (-62)\n", + "predicting ['No Kids', 'Has Kids'] for 1052 brands\n", + "fitting on 841 training and 211 testing instances\n", + "fitting on 841 training and 211 testing instances\n", + "fitting on 842 training and 210 testing instances\n", + "fitting on 842 training and 210 testing instances\n", + "fitting on 842 training and 210 testing instances\n" + ] + }, + { + "data": { + "image/png": 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w9NPMnlVe7sMrr7gVoXPJJUHufMXFfEVZfU5DtKSIPirs8GFbwjpUJBh4SEAQ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\ngHXA522vAx5mQfdHIzkBkDQFvAG4ceF9LeSUdCqlwK4GngO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tIzFQWmn0FrlcET8QIGVBAEjuU/f5rMIuf+TIMB591IPrrx8U8/hYOJ0hIW21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\nfzx2bAButzGO0Q6bTVEtg61b24SiuyVLOjBihLY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JXGt7JfAkA90PjeRE0hTwNuCbg9ta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\nRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for No Kids\n", + "pos:14677919 (1.2e+02) 16303106 (83) 807095 (80) 16129920 (75) 14089195 (73) 22027186 (70) 158414847 (68) 14075928 (67) 15164565 (66) 19697415 (65)\n", + "neg:18784113 (-1.1e+02) 29730065 (-1e+02) 16581734 (-82) 15846407 (-77) 14709355 (-76) 94919897 (-76) 36782022 (-75) 16492009 (-75) 14206711 (-72) 10228272 (-72)\n", + "Top Coefficients for Has Kids\n", + "pos:18784113 (1.1e+02) 29730065 (1e+02) 16581734 (82) 15846407 (77) 14709355 (76) 94919897 (76) 36782022 (75) 16492009 (75) 14206711 (72) 10228272 (72)\n", + "neg:14677919 (-1.2e+02) 16303106 (-83) 807095 (-80) 16129920 (-75) 14089195 (-73) 22027186 (-70) 158414847 (-68) 14075928 (-67) 15164565 (-66) 19697415 (-65)\n", + "predicting ['Caucasian', 'Hispanic', 'African American', 'Asian'] for 1035 brands\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n" + ] + }, + { + "data": { + "image/png": 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p22FqMoF55sZGMwnv2ePG4/FSVRVm+vQ2xo4Ns3y5lxkz2pxMZ5+vsx/18583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\nFPCM1npCiusnA5Ojx1rrWkmyMXg8HoJB8QuAjEU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sUPnyl22eg9b6Ex7DD4zV/QVvDhyo4sornTWN+nLCJhKKZLq8UUdHkD17qrJO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\nBEEQBMpAOQDrgNuAVKkFEQRBEAwlVQ6WZV0KvKm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OiILIA/qycQ+1/TvdcM3kyJ0f/KCctWvbXLHDS4ipIGQHMTHlCX3ZuIfK/j0Y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\nNPCk1vrYNC5l79q1K4uSZo4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sVP/1r/fzgQ8Utj3+eD+hUILvfjdUsHt417uGee65Jpce3uu6jz7az0kn2fvu\n21dYuSzTd5t9dLBgTJlJOX/C92ob6TOB8vTwhTWZI5x77vgWYq+H4u4jUc/jq+exgRSvrztKqYCe\nfLKDpUvtJLdpk5/zzx8gGLRpI/Ind+XxU4hGobkZV2TxRRcNexo9vfIS5bcV7wJKlar08jyC8gRA\nhnJ18Pk1mQGWLGlj587EmO4lCI2EqIaqlFLqkH37WlmzJmcsXrMmxL59rQwNqezkfumlMe69txlw\nXGmo/X4Hvx9WrMjlFVqxYrikx05Tk8Py5bm8RDaZnfcuciQDdyljb60HlAlCPVDRHYHW+kWgH0gC\ncWPMmZW8f63htUL3+x1uummYVMou988+O47fbyfmT3/6cNao++lPH8Zx4K67cgbgu+5q5o47kkQi\nfh58MMhdd1nVzb33NvP61yd44QV38fopU5Icf3wyG2h2/PHJkm6iY2WiXEJnzhxmy5ZAgWpIdgOC\nUJpKq4YcYJ4xJlzh+9YsxeqQlhZob3f48Y/tV3f22XFaWqyL5vTpubxC06enaG6GBQvi2apjN988\nnN0RXHVVLgZgw4YIjkO2eD1AT0+KWbOCpFLwuc+1Zm0Vn/tcK9u3e6toRgquKm63huzSSeuONnjs\n3HMH2LnT9lmEgCCMzGTYCCa3dFWNE4nAwYP+ggn7pJOSBAJw4EBh+4knplyZQx97LM7hw7gii43p\ndx171llxpk5NuNxSRyphWW6aipHUQeO1UxABIAjlUWkbgQP8u9Z6j9b64xW+d01S7AKZSrndRFMp\nRTTqbk94JAn1agM8DctKeQeDpXJ264L+hcNBFi6cwubNITZvDrFw4ZTshL9nTxuXXTaVyy6byp49\nbSVtILUQPCYI9UaldwTnGGMOaq2PBXZprX9jjHkKQGs9D5iXOdAYQ0dHR4W7VzmCweCI40ulUnzn\nO748PXeAv/7rFNOnuw2106dDOOyuRxAIuD2JfD6H446zKSFynkcRpk+3RuH81NRdXQ7gnoSDwSBt\nbU2u/r31rW7bQTAYZHAwyOLF7QVqoCeeUMybB088Ye0UM2YolOpgcNA9PvtZNZf8rCaD0b6/Wqee\nx1fPY8ugtV6d93K3MWb3SMdPWhyB1noVMGiMub3EIQ0dR7B/f4jLLpta4L+/c+ch2tqSPPFEC2vX\nWr3/ypVDXHDBYYaH/ezdG+CGG+zEfMcdEV772gRXXtlREItw//2DKAVLl7Zy5ZVWaDz8cJA77hji\nv/87UBCxqCsOAAAfY0lEQVRBfNZZcWbMKE46Z1U1pfp38KDPdWw4HGT+/K6CY3ftCo8pU2m1Ue++\n6PU8vnoeG1R5HIHWuhXwG2MGtNZtwLuANZW6f72R0cNniEaVq8LYjh39rgI0Sjn4fG4jslIOd97Z\nkhUad97Zwpe/bJ97eS8lEu7fWSKhssfagLJI9pyxZOiUJG6CUFkqqRo6DnhUa52571eMMd+t4P1r\nipkzh9m0KVCgvpk5c5iXXmrlwQeD2dX8gw8GectbvBX/jgOtrSnWrrXuoz6fky5e7y4/+eijcW65\nZbggG2hnZ+lKZJ2dCTZsiHge39UVo6OjmfxF11gndxEAglA5KiYIjDEvAHMqdb9ap68vSCRCdhKP\nRGxbIODwqU9FuekmOwFv3BjJeufccUekQDXU0uLQ3g7XX29X/ps3R2hpgWjUrQ5MpXAlqHvggSRT\np8Y8VTWOY6OUM/2LRkunshYEobopKQi01n+F9fIZEWPM98e1RwIAkYif++5rztPjN/OmN9kV9003\n5VRAN93Uxs6dh4jHlSuj6MaNSa6/Pnfs9de38cgj/Z7pKPx+x5XSIpkcuSJacf/OOqtQXZVPLej9\nK0k1FtkRGpeRdgT3UygITgBSwJ+A6VjX05eBUyasdw1Me3uSpUsP8+Mf24pjS5cepr09yZ/+5P7K\nolGF3++49P5eBel9Pnt8ca6huXPjrnTT06YlClxF8+nqinHDDVFXgRwvSgmTWqtGNl6IUBSqjZJx\nBMaYWcaYk40xJwP3AXcC04wx3cA0YAuwtTLdbDyGhvzZwLFt25o5eNDP0JCfUMhdVCYUcnAcdxyB\nUooVK4ayx65YMYTP59Da6rjSU7e1OUyfnks3PX26Q2dnDJ/PCpXMNTIBZeFwMJvYrbfXupGOl7//\nnj1tzJ/fxfz5XezZ0zYu16wWJE5CqEbKDSi7AfisMWYIIP13ebpdmABiMffEHospEgnFI4808cAD\nAzzwwACPPNJEIqE8A8IAjjkmxYIFURYsiHLMMSl8PmhpSdLc7GTbm5sdUik8J/ZUClcyu1K7hFKM\npZ5Afn3jSy+NcfPN4ydgBEHwplxBEAGKE8S9Pd0uTABeGT6bmhwCAYfLL49z9dUdXH11B5dfHicQ\ncGhqcpeaDAQcVq9uZXBQMTioWL26lWhUkUpZ99BM+513toyoAlq/PpLdPaxfP3KBnFJYr6Ewu3aF\nR1SFRKN+124lGh2hmHGNcaRFdgRhIikroExrfSVwN/BN4BXgROBS4B+MMQ9NUN8aOqCsry/ID37Q\nktX5r1gxxIUXHiYcDnDFFYWFYrZv7ycQgKuvbi8IHnvggUF+/vPCILE5c+L09HgHiZXSXT/zTH5W\n0ihz5hQWoQG3Lv9Ig3YOHAjx3vcWBqp985uH6O6urrxBRxuUVO02kHoOuqrnscEEBpQZYx7WWv8M\n+FvgeODXwOeNMc+OtZNCeSiVU+uAfa6Ut4um40A87i5kk0hYw3AmEd3NNw8TTGtZ5s6NsGOHvVim\nuExxYjjI5Q/KTMzbtjWza1ciO4GN90TW0uJOU+HVVutUqwAQGpOy4wiMMc9qrW8DjjPG1O9SvUro\n6wtw/fXteSvjZnbs6CcUcvjiFwf54Q+tN9E558QJhRxiMTzzChUHjr397db1s7CUo59zzx0oWvmr\ngpV/pRhrFPJIVPuqWxCqhbIEgdZ6GvBP2B1BAmjVWl8GnGmMWTGB/WtYStkIHAdefdWXXeWffnqS\nnp4kU6fCqacmsgFeM2YkaWpy7w59PpvHaOvWwsI0s2aFeP75XD2CU06x9QjGc2IuF6+dyVgRF01B\nKJ9yjcX/P7ayWA+QiRr6EbBgIjolQHf3sMv42909TCymWLu2Nevds3ZtK7GYYngYBgZ8rFzZysqV\nrQwM+FDKXWbS53MIBuHqq21hmuuua+fqq62b6Lp1OS+ldetCDA1Z20K5ht7xojhl9VgRF01BGBvl\nCoK/Aj5ljDmYaTDGvAq8ZkJ6JbB/f8hVm3j//lDJugGHDytuvDHn/nnjjW0cPqy4++6c6+fddzcT\nCMDQUC5BXW+vjxtusMd2dqZYtOgwixYdprOz0I0o4yk00cgkLgiVp1xB0Accm9+gtT4JEFvBBFFq\nwvf7HVeAV6ZmsRc2Itmhvd1h6dLDhEJJT4NzIOBwyy25gva33FJY0H48isxXqlC9uGgKwtgo11i8\nFXhEa70C8Gmt3wGsA+6dsJ41OG1tSVc20La2JH/8Y8CVHuJtb4vT0uKwcWOkIBldc7NDMOgwe7b1\numlqchge9tPa6rB582A2fcXZZ8cB5SpfuXPnIWB89O3lXmO8bBKSyloQyqdcQbAeGAbuApqAB7B2\ngy0T1K+GZ3DQ7zExJ2hvd1i5crggy2h7u0M8Dv39Kutu2t+v8PkgEIDPftbGImzYECGVglAoyR//\nmDMMn3Zaklmz3BFlSh1ZnqBixnqN8ZrERQAIQnmMKgi01gFsArrFxhiZ+CtEKOT2nQ+FkgwNBVi7\nNpcueu3aEA8+OEgiQdaIDDaOwJh+zyL1yWSAW2/NHXvrra184xuHXO6nGfVUcQnMSiCTuCBUjlFt\nBMaYBLaaWP1F9VQx0ajfZQuIRv1EPTI9e7WBt53B74ekxzcZjytXTqHm5iRdXTHWrMnZDtasGR7z\nJC06e0GobspNMfGP2Iyjq4wxlfoPbugUE/v3h7jqqsJ6ww89ZI//7W8DBbaD173Opov+3/8tbD/j\njAR79wa48UbbdvvtEWbPTtDcnORnP2suOHbu3Ch79zYddb3hkcZXTwFe9Z6moJ7HV89jgyNLMVGu\nIHgFW2oyBbxKrk6BY4w5aWzdLJuGFgQATz3VwfXX28l68+YI5503wAsvtPK3f1uYa+iRR/pRChYu\nbHcVqn/1VcUf/mDdf17zmiSnnx5n6tQYv/xliH37rLG4pyfOG9+YSykBucl6PAVBPSHjq13qeWww\nscXrP4J3tbIx3Uwon/37QwwO5orUDw4yYhyBUu5cQwCf+UxbnnBoYfv2PgDe+MZhurutjih/Ui+e\n4Efz4qmnVb4gNCrlCoIfASuADwLd2PiBbcCtE9SvhiR/Uo3HFStWtBWsxL/+9X6ammy08Lp11qi7\nfPkwTU0OySSudp/Pxg78+td2R7B06WEiET9dXWTvUw6lvHgkjYMg1AflCoJ7gNOBTwEvAScBtwAz\ngasnpmuNRfGk2tXlXWA+HoeOjlQ2p1BTk3Ud9fvhuOOS2R3Ecccl8fttFHF+9tH8HcVYVvPFx4yH\nW6kgCNVBuYLgfcCpxpg/p1//Smv9n8DziCA4arwm1R07DnHrrRFSKTtz+3wOfr+D329zCuWv/AMB\nKyT+9KecE9if/uSjuzvlyj66fbtd2RfaCPxZG4EgCI1HuSkmDgKtRW0hJMXEhBEMQlsb2SRybW3Q\n0mLdPIuTw8XjimRSuaqOleLQoSB/+EMge+0//CHAoUNjS/0gLqGCUD+U6zX0GeBD2Mjil7GqoWuB\nrwI/zRxnjPn+KNfxA3uAV4wx7x3ltg3lNVSsGjrmGMfTCwjgAx+Y4rId+HwOP/1psGCn8I53xHju\nuQBLl1rPo02bIpx+eoJoVPH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BIAiC0OCIIBAEQWhwRBAIgiA0OCIIBEEQGhwRBIIgCA2O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\nQoMjgkAQBKHB+X+p5aPbdKoJ6wAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Caucasian\n", + "pos:15485441 (1.7e+02) 1367531 (1.6e+02) 14920785 (1.6e+02) 15846407 (1.5e+02) 14075928 (1.5e+02) 25521487 (1.5e+02) 16303106 (1.5e+02) 115485051 (1.3e+02) 120943272 (1.2e+02) 14824849 (1.2e+02)\n", + "neg:27195114 (-2.2e+02) 23561980 (-2.1e+02) 23151437 (-2e+02) 18220175 (-1.9e+02) 338084918 (-1.9e+02) 117778179 (-1.9e+02) 19028953 (-1.8e+02) 17169320 (-1.8e+02) 25110374 (-1.8e+02) 17929027 (-1.7e+02)\n", + "Top Coefficients for Hispanic\n", + "pos:16664681 (61) 20346956 (60) 16374678 (59) 23043294 (56) 10252962 (50) 1059194370 (50) 17379685 (48) 10228272 (46) 85603854 (43) 10671602 (41)\n", + "neg:15485441 (-54) 14920785 (-53) 1367531 (-53) 120943272 (-52) 16303106 (-49) 428333 (-48) 14075928 (-45) 71023061 (-43) 51263592 (-43) 51241574 (-42)\n", + "Top Coefficients for African American\n", + "pos:23151437 (2e+02) 27195114 (1.8e+02) 117778179 (1.7e+02) 18220175 (1.7e+02) 25110374 (1.7e+02) 23561980 (1.7e+02) 17169320 (1.6e+02) 84358766 (1.6e+02) 18278629 (1.6e+02) 19028953 (1.6e+02)\n", + "neg:115485051 (-97) 16303106 (-91) 25521487 (-89) 14075928 (-88) 15485441 (-83) 90420314 (-82) 14824849 (-73) 15846407 (-71) 11348282 (-68) 1367531 (-68)\n", + "Top Coefficients for Asian\n", + "pos:816653 (46) 1344951 (41) 50393960 (37) 5988062 (33) 36511031 (30) 2890961 (29) 14800270 (28) 14093707 (28) 972651 (28) 21366823 (28)\n", + "neg:15846407 (-41) 14920785 (-40) 1367531 (-40) 15485441 (-36) 34738598 (-27) 25521487 (-27) 7744592 (-26) 254189974 (-23) 428333 (-23) 17074714 (-23)\n", + "average correlation= 0.726738698563\n" + ] + } + ], + "source": [ + "# Results using followers alone:\n", + "def get_model_fol():\n", + " return MultiTaskElasticNet(alpha=1e-5, l1_ratio=0.5)\n", + "\n", + "correlations_fol, category_results_fol = do_cv(X, outputs, fol_feats, brand_ids, model_f=get_model_fol)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicting ['Male', 'Female'] for 1066 brands\n", + "fitting on 852 training and 214 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n" + ] + }, + { + "data": { + "image/png": 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3pvO731mZNMnLzp1Wdu4Uv19+uZ+MjOSBAXfe6WPz5hQKC+spLKzn17+2cMEF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\nf3sc8C052ZtzzkfO1dQ5ImR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lhWnTvCxalMbkycJk9u67JnbutFJc7OGKKwJG06uJE31Y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\naWmJ9BozGSzOlJnuwpmBpAafYcSnEF91VeIi9uGH3emtOTm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+5n5axcVecnICVFS42bbNyrZtVioq3J1SAj3luuxLyNTgXkZfTy+U8gtSfYtN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\nozQ0WKvU29ps7N3rZPr0YgIBB7fdVszy5R6WLvUyY0YxPl/PbrDezl0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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Male\n", + "pos:film (5.3) guy (5.2) gay (4.9) man (4.5) fuck (4.5) game (4.2) team (4) internet (3.9) review (3.9) guys (3.8)\n", + "neg:hair (-6.4) her (-6) omg (-5.5) family (-5.5) girl (-5.2) she (-5.1) girls (-5.1) cute (-4.6) beautiful (-4.5) thinking (-4.3)\n", + "Top Coefficients for Female\n", + "pos:hair (6.4) her (6) omg (5.5) family (5.5) girl (5.2) she (5.1) girls (5.1) cute (4.6) beautiful (4.5) thinking (4.3)\n", + "neg:film (-5.3) guy (-5.2) gay (-4.9) man (-4.5) fuck (-4.5) game (-4.2) team (-4) internet (-3.9) review (-3.9) guys (-3.8)\n", + "predicting ['18-24', '25-34', '35-44', '45-54', '55-64', '65+'] for 1072 brands\n", + "fitting on 857 training and 215 testing instances\n", + "fitting on 857 training and 215 testing instances\n", + "fitting on 858 training and 214 testing instances\n", + "fitting on 858 training and 214 testing instances\n", + "fitting on 858 training and 214 testing instances\n" + ] + }, + { + "data": { + "image/png": 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mEirjkXTJJf6So/lGzLY2x+fd1NZWeW6xSr1pahlJXUuKeak1q8eUUB7TNVL/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\nrO0gO2V2oXiHF15oYedObzLfubODu+9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09NGjAdavzwiZ9esDXHVVhJdeUvv+W8nvrB13e3uYN94I2CKbEwkrk6oqDsLr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\n5eKLY7zrXXFuvNFeAtTjMW1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OuvnP/3Tz/PNWzMRVV0WZMyfBjTfmvt++fQO4XCY//rHd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\nN7/x2irKLVwYIx5P2CrHxePWePKZPt3FQw8N84U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QcxwHjh2Le+aeY8fi3mCdyRDoy+AOqE1NBMxPTb60jMHBODt25Pbv2DHA4KCd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\n+SKSByFUgrIUhDHmPq31fwD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wNzho95t2zVr5z5NIKGuM36J+5EiLT2XYlEdBRKMOK1ce5/nnWzNjjlsd7Nxx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\nz/UvjI8rxoqsWseOqdzJ5pp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t+BaPJ9i4cYQLLkhywQVJNm60E+8KC/plw1cHB23rZNDP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\n5sPAr4FrjDEx3Po7AJcDv4vbqc7vdOEATqZT12e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va5bxW8F3uoS1ThemdCehtX7asqzzxx2+Frgy9/x+YD+iKIQqEYvZ3Hjj8JiV\ntik/YWDACWt97jlnkp03L0Nn5whnn+0eGySDGpwV//goK7NJxn9l146ODJ/+9DDZrKP4Pv3pYaM5\nDXBlRpsIsirPBxKMDdmd+tW7hNdWhnoIgT1Ha/1y7vnLwDm1FEaoPolElMFBm85Of2OhfGhkNgt3\n3tnG/PnOrHznnW1cfrl3f+nBQXf28t69p3jjG91jg5TSVsrZTbz1rc6EHArZxrGQLyvewpo1jm3/\nwQejxpIYeae4n1IbSkFbG9x6a3thrEmOUAjWrk2NUYImk1cQZ3RpIAHATTd1sG9fbcp5S3jtmVNX\njmuttQ1UvmWZUDcEaTp06FA7u3d3sHt3B4cOeYeegvPlX7++GFm0fn35EFg/xxzcDmPwnnFnzMhw\n1ll2oenQWWfZzJhhXsG3tzs7mk2b2tm0qZ0bbxymvd37Xz+dVjzzTJiHHhrgoYcGeOaZsLEM+YkT\nEZcD/cQJ77Xg0FCY0dFig6LRUWV0+Cvl7rNdTgmODweuJRJee2bUw07iZcuy+rTWxy3Lmgm84jXI\nsqwFwIL8a601ca9soiYhGo023fUdO2azbFnnGJPFk08qZs50zzbHj2d57rnImESvN72pg74+94z+\nq19lXP2XX3mlnYsuck94LS2jLodxS4ttuNfek7zX2CNHMvzmN2MT0+bMidDX510vfGAg63Lufve7\nSc9z9/SMcs01I/ziF871XHPNCD09Zy7z8eNZvv3tsbuZyy4b9Rw7OJh1mbw+8AHvsalUxqMgYYR4\nvEzt9DqiGb9747Esa33Jy/1a6/2msfWgJB4HPgFsyf38rteg3EXsLzm0bqCSZUTrjHg8TrNdXzrt\ndoqm02kGBtyrvP7+mEfht5N0dLgzd9Npp8FPqdkknbY979/wcLtrsrv00hHPseFwjDvuSPL5zzuT\n3R13JAmHvc87OtrumXFt+gwzmajLJ5HJjHjei4GBGKdOOf2lwZl0BwaynueOxWKu6KZYzFvmWCzK\njTeGxo31lqGzE+64wy6U9L7jjkE6O1OelXxPnIi5THqPP36S9vba/D8H7QrXjN+9UuLxOFrr9X7H\nT3UI7EM4TuoZlmW9CKwF/hzQlmUtIRcCO5UyCVNHkLDPIBEy4bDjl8iv4tesSRmdwEHKbmcyjg8j\n74weHFTGLGqv4+UyrrNZd72pq682hde6/Shae9d5am3NMDwcKeyqhoedY14MDoY9JnPvyq5AwTQF\ncNVV5gnhARjZAAAgAElEQVS3nqKbxpYHGahJ46FGZ6qjmz5i+NXVUymHUFn8rtRKwz7BeW6aGINE\npoyOKjZtKvZ92LSpne9+13sS7ejIMGMGfOtbxcqn5ugfxbp1Y/tJPPqo93kjEXfTIVNWNMCpU+6v\n3qlTEc9rbGlxv9/rGDi5DzNnRkqa+AxXJPchaHRTPUQVSZ5EZagHc5PQwARZqfX2ptmyJel78vAb\nmRIk2ay7O00oFCsUpwuFnGNnSjjsKIr8riMSsctmGYfDbqVi6kXd0mK7TEjlSn74rcA6e/YQ27ZF\nWLnSOe+2bUnj+CBZ7SBRRc2EKAlh0kxmpZZvMxoOh+jrm3jr72eCiURsvv71wUJV1IEBjKv411+P\nMTgY5umnnaX45ZeP8PrrMc4+2z05KmWzYUOKn/3MmQzf8paMMYltZES5wnB37zYnSkQibqUSMXwb\nh4dVIUEOYOfOVrZuNZtv/FZgTSSifPObUXbuHMyNbeVtb4t63vMgjYTyVFM5+Nm91suOptERJTGN\nCOrAqwZjJzAmtBEfPuw4a+fONdcKised+kbLlxdXxKbglGQSVxTSrFkZzwS5aBS6uuzC2G3bkkQN\nCclK2axYcbrgPF+x4rRRoYCjVPy2RnXKhI+waZNzLxxfjrnAn1/FHQrBBz4wyo03dpac11veII2E\nqk2Q3avf3ueCmbrKkxCqRzUKneUd0aWx8+acA2cC27mzjZ07B3MPc4VSgKeeivOhD3XxoQ918dRT\n5pDE/n7FypXF3ICVKzuMFVVL+z7kcx9GR73HptPu85ryE0KhovN8zx6nxEa5ewH+cwlaW2HmzGL5\n75kzM7QaokmDmIWClAYB/wX+qknQMuQHD3Zw7bXdXHtttxT4mySiJKYBk6nv76e8ctBJJhKBz3xm\nmAMHWjhwoIXPfGbYaGI5fLjdNUHndxXj8UrqKpcZ7Xes17WY6ysVnefHj4fYtKkdVSbbrKXFibLK\nJwB++cvm0uLnnDNEd3eWK68c4corR+juznLOOd6r4s7OjKsCq6klaSiEqwT5RIqttzftmddSj0zm\n/15wI0pCcOF315F3ROcnmS1bytfoOXWq2Altz55WXnopzKlT5lXu+JW2aYJubbXZurU4MW7dmixT\n0ttmzZpieew1a1JG003eYVw64Zom8iDOc3B2Kfnw0+PHnVwF0y4lP3758k6WL+8sOy6TKVZgXbQo\nzVe/GjOG4paG4eZ3VeWUfDXx2/Mh72fIfybiZ6g+4pOYBgRx4AV1RgeJYhkZcbf4fPhh75n0rLNs\n1q8f4uabHSW1fXuSs87ynqCHhxX/8i8h9uxxwlqfeCLC3LneE+lZZzn2/9Ly2Ged5S1vKAQ9PRnu\nucdx7EYiWeNKO18FttSxW64KrJeyMSmgRCLKqlUdhdDhVas62LvX/Jn4LdpXLwTNZfD7PyeO68pg\nVBKWZf0PfNRR0lr/Q0UlEqrC+EiacozvFz0Rfr943d3uaB+vY+D4GW6+uZjodfPNHTzyyCl6etxj\nzz7b5p3vzLJ4sTMZbN+e5Oyzva/x1VcVN95YLA2yZ08rWp8y9nV+7bUwIyOOwmlpUfT1ecsbDrur\nwJYLgc1m3YmFplV8KAQ33DA8JlzWpKyCTIyTmUSDFGf0w2RzGfz+z0ko7plTbgbYzVglcS6QBV4H\nzsYxVb0IXFg16YSKkEhEWbKka8zEuG/faMXKPPuNmgqH8Shz4T3W9pjjvY4BvPaaW6E8/PApzwin\nIAX+slnHj/KlLxXLYZgm8mwW7r8/ysc+5tyD++83V3XN/83xiYXz53vfv2wWNm8u7sA2b45x1VXm\nSJ0gET1BJtGxK367YbKXRTmcGUYlobU+P//csqzVOIrhz7TWKcuy2oGNQKLqEgpTStAyz0FMBf39\nER55pIX77nPMQt/4RisXXJDxTGZrb3ebb0xVUoMolGjUdpXHNpmFSv0GUCwr7kVHR4bPfW54TDnv\ncnkEs2YNsXlzmKeecvI1Nm9OMWuW94Q+MOD+mg4MeGdng/88iTx+JtFqZS+LSaj+8eu4vgX4ktY6\nBZD7uTp3XKhzquXsCxo90tZm8+EPj/CpT8X51KfifPjDI8a6SaEQXHzxKBs3pti4McXFF48aV/xt\nbW4Hs+m8o6O4ymOXaw7kl2Qy7CrRnUyWb+wcDtsFOUzZ1hDs+hoxosfZzSTYty/RMLuT6YRfx3US\neBdwoOTYO3PHhQYgiLNv9+5TY2r/lBsfxH+RTCpuuaW4Mr/lFvPK3CmuV6x8um1bkkzG29aTTise\neGBs5vD69d6reNtWLtPNI494m4VaW21uvz05ZndgipryijgqF4UUZGXe0pLhq1+NjykrvnevuQ18\nUJ+SH6q94pfdQ/3i9z9oDfBDy7KeAF4C5gCLgM9WSzCh8vj9Ivqt9hkO46qoWs5ZGyRHIZUqJrIB\nrFxpVigtLTZLljj5FwBLlgwbI4W88jJMuRqdnRk6OkKFiqodHVljzkEkYrNpU7LQNjQUsssGCAQx\nIQ0NhV0RS6YEuWq2Ds0vNKLRKJ2dsj6cLvgyN2mtHwTeDfwciAM/A96ttX6girIJFcZPLHoQc8Xg\nYNgVkz84aNYSnZ02d901yM03D3HzzUPcddcgnZ3mNpx+joGz6zh2rJh/cexY2JgbYNtu041tcGB0\nd6fHKJBIxFwM8Nxzh+jogLVr21m7tp2ODueYiSA5GEES5Ep9SsePh7jppo66NzdNBr95FcKZ4zuZ\nTmv9LPBV4Cta642510KD4DdBzrTC9aKjI+PK2C3nrE2l4OWXQ4XJ/OWXQ6QM1R3yeQelJT9MDuag\npTbGKzaTWai/P8qLL4YLLUlffDFMf7/3xPT88+4M8eefN7dcBXfSm4kgCXLVJEjr2amQo5IlZgQz\nvpSEZVlnWZb1HWAI+GXu2LWWZW2qpnBCZQiyOwiH3ZOzyamaSoVdk3MqZd5J2La7dIVtmyfzH/wg\nUqjz9IMfRMrWTfJzDKC9vZhstmtXG/39IdoNc/ngYJjh4aKTe3hYld0pBaGtLeOSo63tzGf+oPW0\n/FIvDvF6kWM64dcn8RfACWAukN9B/ATYiuOvEOocv87MlpZiMTlwnpsa3OSTzCY6NhlaW20+9al0\noUJpuVIbSjmlNvJVUtesSRkrsGaz7hDYbHbiHQo4GeImJ/cFF6TYti08pjfDBReYi+AF6dIXxM8Q\npLGTIPjB7xrjfwCf01ofyx/QWr8KvLEqUgkVJT/J5M1CGzYMGSeZlpYM27a1cfHFGS6+2Hne0uK9\nwu3pGXXZynt6zPGkPT2jrlWuaXw6XYyEOn48xC23mGsbhcMwY0a2UCV1xoys0YGeybhDYCthukkk\nomzf7vR8WLMmxfbtrWVXuEGKIwbxMwStp+WXeqmZVC9yTCf87iT6gTcAR/MHLMs6r/S1UL8ESZDr\n7U2zevWQ71DHs88eLbQCzfqoDje+dIWJYJnRivXr2wsNf9avb+e++waNY/2GwCrl7h5n2qEMDYXp\n6rILtZK6uuyynduCdukLQrVKUdRLdJOU2pha/CqJXcDDlmWtAUKWZb0X2AzcWzXJhJrht6zD6dNh\nEonImDyCvj7o7vYen0yGXd3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J/8B7yp8PZCegfw9YVuHyjDPJw9Ry+HB7bu/kw4fbA885erTFt69ztlWRla38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\npSAhIiJlKUiIiEhZ/x/2MTySBrJQ9gAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for 18-24\n", + "pos:d (2.7) haha (2.3) album (1.9) x (1.7) xd (1.6) _: (1.5) actually (1.5) stream (1.5) wanna (1.5) im (1.5)\n", + "neg:family (-1.8) wow (-1.5) miss (-1.4) vote (-1.3) great (-1.3) fans (-1.2) tv (-1.2) kids (-1.2) son (-1.1) star (-1.1)\n", + "Top Coefficients for 25-34\n", + "pos:super (3.3) dc (2.7) baby (2.4) definitely (2.3) nba (2.2) pregnancy (2.1) wedding (2) even (2) entire (1.9) nyc (1.9)\n", + "neg:american (-2.5) county (-2.3) vote (-2.3) MENTION_youtube (-2.2) golf (-2.1) red (-1.7) july (-1.7) tour (-1.7) dog (-1.7) am (-1.6)\n", + "Top Coefficients for 35-44\n", + "pos:star (1.4) fans (1.2) kids (1.2) tv (1.1) bike (1) mind (0.96) store (0.96) awesome (0.95) screen (0.93) son (0.92)\n", + "neg:haha (-1.8) d (-1.7) MENTION_youtube (-1.7) album (-1.4) wanna (-1.4) national (-1.2) nintendo (-1.2) golf (-1.2) xd (-1.1) games (-1.1)\n", + "Top Coefficients for 45-54\n", + "pos:wow (1.4) vote (1.4) american (1.2) comes (1.2) ca (1.1) santa (1) county (1) boys (1) nice (0.97) high (0.95)\n", + "neg:super (-1.6) damn (-1.2) nba (-1.2) pregnancy (-1.1) fuck (-1.1) definitely (-1.1) actually (-1) dope (-1) review (-1) women (-0.97)\n", + "Top Coefficients for 55-64\n", + "pos:vote (1.6) golf (1.4) red (1.1) american (0.94) country (0.93) north (0.93) county (0.92) holiday (0.91) smile (0.9) 99,999 (0.9)\n", + "neg:awesome (-1.3) i've (-1.1) super (-1.1) dc (-1) damn (-0.93) nba (-0.92) yeah (-0.89) training (-0.87) actually (-0.83) world (-0.82)\n", + "Top Coefficients for 65+\n", + "pos:vote (1.3) golf (1.2) MENTION_foxnews (0.92) holiday (0.72) may (0.67) american (0.66) he (0.64) family (0.63) north (0.63) national (0.63)\n", + "neg:awesome (-1) yeah (-0.86) lol (-0.77) trying (-0.66) station (-0.62) y'all (-0.59) houston (-0.57) these (-0.57) training (-0.57) rock (-0.56)\n", + "predicting ['$0-50k', '$50-100k', '$100-150k', '$150k+'] for 1043 brands\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 835 training and 208 testing instances\n", + "fitting on 835 training and 208 testing instances\n" + ] + }, + { + "data": { + "image/png": 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4HMCeyGsOh9MFpLsIXnflBmRnh7F0aSuWLm1Fdrax9Eay4aeJ8jO0n/e1yqwdoadMTDcA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\nqmIrK6NlLlRF14rRowNwu2W43TLGjjVWkG1tJUq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nvcXnBgf9DuQHHjjKCSfY58fH4dVXi5vxV1+NMX++O3yotdVfSsNtvlF88YvF\nKKUvfrGNr3zFXVLci/fY8HCcz33OnWvx8MOZQtHAKN3e3D4KVTLqrNzvUrKcZw51MTEZY0aAC40x\ni4HfAy7UWi8FPgvsM8acDvwg97Mwwwgr/Vwq7n58XPls6kF293zTlosu6pl005aBAf8ayXssLNIp\nn0md7xa3eXOHr+S3M0qptzfG9dd3uqqxxmL2DiJvQrriilFXnkNrq+UzH3n9A0FjE3SsFNXw+VTj\nHkLjUDcTkzEmv19NAHHgN8AK4ILc8XuB/YiSOKYot9qMUicpLKomkfAXoHNXQbW48ca0y7TjLLMN\ntgP59tsHeeIJO9Lp3HPdkU6xmN3t7aab7Gfef38ioGGQ/7N7o5ROOCHD175mJyf85jfuxLmxsfAI\npbDP2tMzxj33HHXkOUivaKE8dVMQWusY8DPgNOAuY8yvtNZzjDGv5i55FZhTL3mEaNTSlhw2uUdJ\nqhod9c+8zmNBCWbnnFM03bS0wJw5Rf/BnDlZWgL+K7LZYojp2We7lVR7u8X1148Uqr1ef/2Ir9RG\nfgfg9Kc4dwC2zyLGxz9ePO/0cyhVbPYD8Mtfxnw7m3nz0px8crHY3skn+4vtjYzEAl9DdRTIsdAj\n4ViinjuICWCx1rob+Hut9YWe85bWWmLqGohq2ZJLKZkodXnySVV2vX2/03R8HN+qedzhu21psfjc\n59KuKqje1f/q1V0FJbV7dxuPPHLE9YxYTLF2bdF2v3ZtJw8/XMxzGB2FQ4fcmdZeH8T4uOK229oK\n2da33dbGjh3Fa0ZGlC+j+5vfLD5j4cJhrrkm7lIwCxe6x6OvL8FNN3WwdKmtRG66qYM9e4rmvVde\nSfqaFp10UpKTTioqkXxnPPAnHUZFspxnDnWPYjLGHNFaPwq8A3hVaz3XGNOrtZ4HvBb0Hq31MmCZ\n4x6kUv6aOY1GIpFoeDlLyXj4sMWqVV2u1f1jj6mSrT+DsCyLH/9Ycfnl9qS2a9cQ73qXhcotfWfP\nnvBN7rNnx3zypFK2nEF9GiYmsr4dwtlnjxfu0dKS4ciRYinuI0cULS0Uzr/8sr8WRSajXDKk0/5r\n0uniPSYmsr5M6wceGHfdI5nMcuRIjKefbsnJESOZdN/D/9mK5//93yd8CuTRRyf4rd8q7gIGBy1f\nMp79+23Lfa6JgEioTOEZUX/nlmXR20vuGRR+n06KH73Nd24yNMP/EDSPnABa642OH/cbY/aXurZe\nUUzHAxn555f8AAAgAElEQVRjTL/WOglcBGwC9gIfA7blvn876P25D7DfcWjDQBN050ilUjS6nKVk\nHBvzOxbHxsYYGJhcWebLL+8pTDiXX97Jvn19hVVlZyecfnqHy4TU2TnsqxHU15cgkbDo6vI3v+ns\nTLJ+fdrV46Cz0yp8pqGhDu64o72wqr7jjnZ+7/cyhfOxWJL164cLpThOPz1LLGa5xiSRSAba9vPX\nKOUuiGcfw3WPiYkkGzakXTuAiYniPcKeMTrqf8boqFvOri47O9q56+vqGiqM56xZ/t/prFnjhd9p\n1N+5f2cZvSnRZGmG/yFoLjmNMRujXl+vHcQ84N6cHyIG3G+M+YHW+ueA0VpfRi7MtU7yCCHUy5a8\nePEwJ5xgm3yCykyHldrIZkGpCZdz11nCoqXF3+vZaWKyLLdZxc4/cMvQ2gqnnpph82bbpHPiiVlP\nCXC/c9jr6B4d9ZuQnOW+YzHbZ+D0Hzgd3WHF/vKUM+/kM9udcjqfEeV3Lr0Yji3qoiCMMb8E/iDg\neB/wh/WQQZg8Z501xN69tqN0Kj0CenrGfF3UvBOJWwHEXAogymSUzUJvbwtr1hQnvdNOcz7Dnwfx\n7W+7m/08/HCLq4nOO97hTkAbH4eXXmpxRTrNnVt8RmsrvOlNxXagAwP+HhJhlVZbWnB1f8tkcDnL\nW1uz7NzZWfBh7NzZxq5d7mY/eUpN1s7M9vxn9eZ8iP9AcCKZ1EJJyk3eUejrS7BhQzE0c8OGJHv2\nFCNjqrEazWT8CuDBB50KwN8C0zkRJ5MWn/jEGFdeaZc23b59yFcldWzMX83V2VEuFoPWVlXItN6x\nYyggzNW/y3CW40inFRs3Fh3MGzd2uMJYe3rGuPHGdKQd3cGDwR3homa2lxt/CZU9thAFIQRSLVOC\n12k6GaLsQFKpjE8BpFIZxz0yvgzmnp7i+aEhf4SSt11oWBZzOu03H3nv0doKqdREwUwVi1muXUYi\n4TeFufM17NX9Aw/Yx4I639mfP+UYrxaWLnXbxfO7wng8xty5pRsGQWlFESXSSUptzAykWJ9QM8IK\nu4Wdd+5Ali8fY8OGpC8rt6dnjK1bh+nqsujqsnsmeE1Q3gxmp2nH628IOpbvs+DMYnb2WbAsfxE8\n7z1iMZg92+KZZ+I880yc2bMtl5Jpa8sWdkK9vTG2bUvS1ua2S4V1vjt4MFkopdHbG2P16s7CbiLP\nU091smJFNx/4QCow6zwsKz1KpnQlme1CYyE7CCGQajmpw2za5c6n03HfDsSbJ9Hfn+CVV9w5CG99\nq7/JTSk6OvwJbB0d7tn9yBF/FvOXvjTI8cfb55NJf50lr5lqZAReftmdgzBvXlEBhOWEROl8F1YS\nJErvjEp3jeLEnlmIghBKUi2H5VSbx3R2Zn0hqN7+xcPDcZ9/4NxzxwoF6gYG4j7b/8BAnJ6e4j1a\nW4stSYP6H8TjflOZu6eEv5ifM8kNwLL8vpIHHij6MfK9mp1yTrZXc0eH/x4dHdGVUBSqtXAQE1Rz\nIApCKEs9/oFLTRazZ48xd26ioCDmzp3w7Qy8RfG8x4L6RTujlDIZxZVXujOpv/1t9+Te2enfZXR2\nuk1MXoJMTF6cx5SCBQuKYa4LFmRdq/9Fi4bZscOdSe0txx0WpRSmhKJO/uUWDlHuIdVemwdREEJZ\nar3SKzdZ9PcnePFFt1nGaz5Syh8dpFRxdj7uOItrrhl1TazHHVc8n3GXVQo8NjxcvkxGR4fFnXcO\n8pOf2F7n884b95mpwooCptNxjh5VnHGGfd+jRxXpdJzu7uIdTjwxUwilnTXLv7sIi1KaPXuMM86I\ns3mz/dxFi/y1raLuGsudK3cPMUE1FyUVhNb6PXizfQIwxvywqhIJDUOtV3p9fQnWressrHjXretk\nz57iZDE0FPetiM87r2g+Att0U64Y3/CwP8LooYeOFkxMYQoG7IijlSvH2bKlo3CNsxT3xAQcPuz2\ng5x6qnsCT6WyfP3r7p3MhRcWV/djY3ZBwGeftXdLb3tb1tW2tL8/wfPPtxS6zL3xhmLuXL+vJWyC\nHxmJsX59R26sgjN/o0zWpUJpJ3MPofEpt4O4B7eCOAmYAN4A3oQdAfUy8OaaSSdMG/VY6cVi/m5v\nTrNLZ2eW665LFybFc84Z99nlZ83K+DqxOTvCjY768yBGHfllsZi9A8ibdjo6LJ85aHzc7z/Ys2fc\ndd7rB3E2JQIYGYlz9dWjrqKBIyPO1qd2trUzo9spx+honLY2uP56e3K/5ZahwEq2UL7LWzV+p2Gh\ntOWQaq/NRUkFYYw5Jf9aa30jtlL4nDFmWGvdAWwG+mouoTBjCevmphS+SdEbqTN79hinnVYsCX7a\naW6zSSpl+WogOUNU43G7jLbdosR+7e3dEBYdFMUHkckorr22uJO59tpOvvWtoq9jYsLfUe6d7ywq\nmZERxc03FyOpbr7Z3w+iHjhDacHuSrd3b2ZSmfaSrd08RM2DWAvckG/6k/t+Y+64MANphOb0/f0t\nvhyG/n7/mmbx4mEuu2yIyy4bYvFit+N2fJyCiam3N8aaNZ2ucuDj43YG8+CgYnDQfu3twpZ3Ujvz\nIJxO6pYW2wdxzTVprrkmzZ13DrrqPeXl8OI8Fo/biXL5jnKrVo26Mq3ziXTO895EujAa4XfqlEWU\nQ+MT1Uk9BJwNHHAce2fuuDBDqXVz+mqaG0qFa+bNU6WORclgTqcV3/1uC3/zN7Yp5b77EixaVDR1\nZTJ+H8SCBW5TWFixvSAz1je/WdQgzkS6/HlvHaUo5H+ndn+Nyf/7LliQ5vbbW1zZ7VOp0yU0B1EV\nxE3Ad7XWDwOvACcDy4G/qJVgQmNQbsJ++ukOR02eFt/qPQrllFB7u8Wttw5x3XX2ZHTrrcEVTMvZ\nxMOc0KOj/onZadoBOO64DO97X5yPfMRWZNu3D3HccUU/h2X5fRDOyR1sU5bXRPT1rxflDAuDrSY9\nPWOkUm2+supRWbp0gL177c8/VeUgeRDNQaQ/QWPM/cAS4P8CKeBZYIkx5r4ayiY0MP39CZ57rpXd\nu9vYvbuN555rpb9/as3pS5kb2tuzJJN2/aLNm4dJJidob3evzMPKS2SzxSin5cvHuPvuNrLZ4g5i\nIqA8lPfYwECczZuLJT82b04yMOB2MHvxHhsdVYVku1272unvjzE6WpSjtdVWZHnzz7p1aVfSXiOZ\nh8BWDFNVDlKKo3mInAdhjHlGa30zMMcYc6iGMglNwNBQ3Lfy9oagVko2C3/xF8Wom7lzJ9i3zx0X\nEeZAjsctbrhhmNFR+x7veteYy7Z/3HH+JDhnngTY0VReM5Qzmqq11Z/j4M3I7u7O+K7p7i7uQoJ6\nZy9Z4t6FtLQUo628Po5mQfIgmotICkJrfRzw/wMfBjJAh9Z6BXC2MeamGsonNCjJpD9RK+hYrYnH\n8ZmhnFFIySS0tyvWrbMjoW6/fYhk0vn+LJ2dqpCAFo9PEI/7y3l4leHSpUVl2NGRZc6cYhb0nDlZ\nV4kLsKOt5s9PFK6ZPz/riraaPdtfdXb27KIC6etLcNlls1wZ3/v2ZQInVjHfCNUiqpXzfwNHgUVA\nPor8CWBlLYQSGp98Ke68ySO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x0+ElXzVShdrA7+rv8stT7NmTIRgM0NY2Niu0rq4GHn00VJQj6Pzz3VfYfgLl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\nmE4rdu4srvz2trc5T+STJqVZtqy/yF4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5c+LU1cHKlYP88IdOeKxcOUhDg/UEzdXUuOR/uSqrhgbLtm19GSqvPubOdQKn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\niQRs3Dishtq4sZ7HHot67Bc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TSPj3HQ9jtCAIUxMRElWGn2fReBmjBUGYeoi6qUIZqejQ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\nQRCEvIiQEARBEPIiQkIQBEHIy/8PaRdOidswQOUAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for $0-50k\n", + "pos:lol (3.7) games (3.4) MENTION_youtube (3.1) damn (3.1) black (2.8) ps9 (2.7) side (2.7) d (2.7) community (2.6) god (2.5)\n", + "neg:dc (-3.1) santa (-2.8) looks (-2.5) nice (-2.5) luck (-2.4) iphone (-2.4) boys (-2.4) nyc (-2.3) congrats (-2.3) MENTION_wsj (-2.2)\n", + "Top Coefficients for $50-100k\n", + "pos:great (1.1) seattle (1.1) he (1.1) performance (0.9) lose (0.89) usa (0.89) kansas (0.88) iphone (0.85) wow (0.84) cold (0.84)\n", + "neg:games (-1.5) damn (-1.3) ps9 (-1.2) black (-1.2) past (-1.2) they're (-1.2) video (-1.1) d (-1.1) MENTION_youtube (-1.1) music (-1)\n", + "Top Coefficients for $100-150k\n", + "pos:santa (1.1) flight (1.1) nice (1.1) looks (1) practice (0.95) congrats (0.94) bike (0.93) dc (0.89) retweet (0.86) ride (0.86)\n", + "neg:lol (-1.3) indiana (-1.2) being (-1.2) games (-1.1) community (-1.1) side (-1.1) MENTION_youtube (-1.1) art (-1) damn (-1) episode (-0.96)\n", + "Top Coefficients for $150k+\n", + "pos:dc (2.2) nyc (2.1) market (1.8) MENTION_wsj (1.8) congrats (1.7) beach (1.3) san (1.2) york (1.2) ca (1.1) looks (1.1)\n", + "neg:lol (-1.5) share (-1.3) d (-1.1) free (-1.1) county (-1.1) information (-1.1) card (-1.1) science (-1.1) side (-1) MENTION_youtube (-1)\n", + "predicting ['Democrat', 'Republican'] for 957 brands\n", + "fitting on 765 training and 192 testing instances\n", + "fitting on 765 training and 192 testing instances\n", + "fitting on 766 training and 191 testing instances\n", + "fitting on 766 training and 191 testing instances\n", + "fitting on 766 training and 191 testing instances\n" + ] + }, + { + "data": { + "image/png": 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GPgh8QSl1tv1FrbWJpUQEoaCU0z/vaM0oxWS4Sbe5uZ/W1kgq96K1NVIShTeaJMFy+XuU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\nrJLkXwP8QGt9Itb35xUqRH6t9R8S9/1k4B+BXuA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WARcBLwBLgKuBxcB5lRmaMFvJ5265YsUoe/daF9JCcQOjo0Fuv70ldf/tt7dw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\n9/DDg2zaFMkKiGtpcUgk8NR++P3fz00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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Democrat\n", + "pos:women (3) u (2.8) ain't (2.6) nyc (2.6) equality (2.5) la (2.3) voice (2.2) seattle (2.2) dc (2.2) MENTION_nytimes (2.2)\n", + "neg:HASHTAG_tcot (-3.4) MENTION_foxnews (-3.3) country (-3) guy (-2.9) golf (-2.4) christmas (-2.4) luck (-2.1) isis (-2.1) HASHTAG_pjnet (-1.8) government (-1.8)\n", + "Top Coefficients for Republican\n", + "pos:MENTION_foxnews (3.9) christmas (3.3) HASHTAG_tcot (3.1) football (2.8) county (1.9) morning (1.9) family (1.9) christians (1.8) country (1.8) obama's (1.7)\n", + "neg:boston (-3.2) equality (-2.3) seattle (-2.1) fuck (-2.1) shit (-2.1) portland (-1.9) MENTION_nytimes (-1.8) women (-1.7) street (-1.7) black (-1.7)\n", + "predicting ['No College', 'College', 'Grad School'] for 1046 brands\n", + "fitting on 836 training and 210 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n" + ] + }, + { + "data": { + "image/png": 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IqmISBOEKACmfhiiKr2R0RBzOAEYfWX3VVUG0tdkwa5ZbWf3OmuWGKErMsaam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\nrtWgNZFuowLRgtnO12fpPdLqh1x//2FWrjzW1mvUnttKT5c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113od3Haeg32dlSvHPY53+9ruOk1gma7s8h9RUVmTC0Ou3CAuDu7KUA8TU/Fa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\nz5sUOD5eCNsdL7IQuXNGrHNznH56Iaz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k6hq89loDvb1+kklYt66JLVuCbNkSZN26JpJJiERURsXU3e3h1ltDDA0pV5qM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\nQgAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for No College\n", + "pos:lol (4.3) games (3.1) put (3) MENTION_youtube (3) county (3) made (2.8) ps9 (2.5) xbox (2.4) videos (2.3) found (2.2)\n", + "neg:la (-3) our (-3) market (-2.8) running (-2.6) MENTION_nytimes (-2.6) probably (-2.5) seattle (-2.4) run (-2.1) bag (-2.1) congrats (-2.1)\n", + "Top Coefficients for College\n", + "pos:our (2) you're (1.7) seattle (1.7) photo (1.6) MENTION_mashable (1.5) la (1.5) apple (1.5) fashion (1.5) probably (1.4) san (1.4)\n", + "neg:am (-1.6) games (-1.6) its (-1.6) xbox (-1.5) u (-1.5) chicago (-1.5) county (-1.5) videos (-1.5) im (-1.5) ur (-1.4)\n", + "Top Coefficients for Grad School\n", + "pos:dc (2.6) MENTION_nytimes (2.4) market (2.2) which (2.1) review (2) excellent (1.9) boston (1.9) also (1.9) congrats (1.9) MENTION_washingtonpost (1.8)\n", + "neg:lol (-3.1) MENTION_youtube (-2.6) made (-2.2) put (-2.1) july (-1.7) video (-1.6) road (-1.5) released (-1.5) county (-1.5) games (-1.5)\n", + "predicting ['No Kids', 'Has Kids'] for 1052 brands\n", + "fitting on 841 training and 211 testing instances\n", + "fitting on 841 training and 211 testing instances\n", + "fitting on 842 training and 210 testing instances\n", + "fitting on 842 training and 210 testing instances\n", + "fitting on 842 training and 210 testing instances\n" + ] + }, + { + "data": { + "image/png": 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pHsOGddHc3ALEB/fEPrduLXbuu26dTThsOdfXrdvnOU58V7ke/NNBwlwHkHwPJYTCkBFE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\nzISX+Bz33NNOJIKznWgo5OOmm/o2ORk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R2Oj9ivp8RnFFzWGhkN/z/pNPFnPbbUFPxNRJJ7XxxBMBnngiwGGHdXD11SFn\n++qrQ4RCpC1R3tkZizyKn4xPndrGZZfFoqeuuKKcDz7w3mdrq5+2NotXX/Xz6qvmdbzs+cxAK7ee\nLLJuIN1fXyBmqD6kEKamURkzKWzXXTNUfEE+oNvF855/voJnnikGYNy4NlpafB4ZvvSlVp580rtQ\n0X/8R4jmZtMRu2c+qWSYObOFCmNR4r77Atx2W9Azc4iXs7ExwNNPD2LrVnON009vSzB9zZ/fwo9+\nVOFs/+Y3u/jLXwIeOU88sY2SEuMTyHVHVQjfTeh7OdMlhGZKoTxPMUMJWSFd1vIJJzSxcaOxrSRz\ncPfUXJHqB+v3w/vv+x3n8bHHdjB/fmmCKWzkyE7HGX3wwZ28957ftV62xVFHtSS0HWXkyA5GjLC5\n/HKjgBYvNgouPoKqpcVPdXXsvHAYR64jjujkttuaufhioxyWLQuydKnX4d3ebiWE6B59dDtnnFEd\n2S6skNSBkszmlj/fQ5v7G5lZ9CH9PdrI5AftlrEvHLDpMrSLimwnHyH+/XvuaeYHP6jwjNinTNnD\nJ5/4IvIWsWZNM9u2+WlvN4OlESM62Lq1mAULTEc/e3aI8eNDfPqpUX6DB3d4lky9665mfvhD7zUe\nemg3F11U4XF+3nVXMyNHGn9DslnYr361mzfeMNc47LB2mpt9nvs88MAwzzzjnVnsv38n5523j9NG\nsllWX3XKvflu5rJTzdVvqLcl4/v7t54pMrMQEujuD7qhIZDgwK6ra037Y+kqlDbe+fyzn1Vw881B\nZxZQWRlm+vRYqOwzzwRYv36Qc/yf/lTEyJEdzJlj3r/vvgBjx7ZzwQXmvpYuDTJ4sE2nK7pzzx6L\n+++PhcquWlXC6NEdjuP79NO9I/wdOxJ/N34/zJ0b4rLLyp3rjBzZ4txrMv79bz8vvGB+TkuWDOKR\nRxoT8iziE96mTUsefhwlH0e6hZAvIvQNoiwGILn6QXtnIkWccEJTl8pjwoR2LrooJtcxx7RTWxty\nZgVDhoRZvz52/H77hZkxo9UxES1ZEuTll/3O+ZddVs5vfrOLQYPgiitikUjXXtvi1De69NI9WFbM\nZDRuXBtXXx3iyitNm9/5ToilS4MexVBWZjNvXqmjUObNK2Xlyk6eeMK0ccYZrQlmqn33tXniiYCz\nDelnA8cf3+FE4STLPJdOOXfIan3pEWUhAN3/scSH0s6dW8r8+XDppV7l4c5xOO20dk/yWk1NJzt2\nFHHVVaaf0hrDAAAgAElEQVSjX7asmdtuC3Lxxeb4Y4/tZPLkWId5+eXl3HFHs0eOtjaLK66IyXHF\nFeU88MBu5zpz5rTQ1GQzZ040ZNXihhtKXTOLIm6+2asY1qxp9oRVjh7dwc6dfo+PIt5PctVViSG+\nbhNSsud75JGFF5KaaZHEQvRpDNQQ4WwhymIA0tPs1K7KZqQ7f8KEdi691GvGevTRTpYsKXE66qVL\nS1i1qtlJZisutrjyytg5M2dW8OCDu53jO5MkD1dVhbnzTqMwfL7k/rbdu2PrY993X4CZM22uv94o\npCVLggweHHYUwbHHdiTE2/v9cOONQWfGM2xYJxdeWOlSjGVccMEempvN+y+8UJQQ4rtjR7FT+TZq\nQupOZ5SvI91ktbTic1/y0XyWKfnwjPMVURYFRKYdd0NDgLlzSz1lMx56KL3/Ib7trn70w4eHWL68\nKOWsIcqUKW1OiOnZZ7fz+c+38eijuwEoLk7e2W/bZo4/8sh2br456JiMli1rZudOvyf5raTEThjp\nvvRSLH/BnQMBZnZy991NXHCB+er7fDbLlgWZOdPrn3jnnUrXjCfIyJEd1NfHIqlCIcsz81izpokd\nO8x1hw7t9CjOVCak7pRCyZdOLFktLTGf7R2IsigQujta6212aqoffZTq6jZOOKGJRx81w/+RI1tY\nvtzyzGb23beDQMDP5z9vjqms7OSll0qcjnnZsqBn9LxyZTOvv17kKJ1RozoZNaqd229vjpwf5rzz\n9vGYnB55ZBdlZbbHJPTJJxYzZ5rR7iGHJE5POjpwZi9r1pRwzjltrFxprrF6dQkHHVTmUTAzZ5bz\nwANNnHuu+bksXRqkurrDkXPp0mY++SSmxKKzFzc+X2LNKnd2eqpONR872XxUYkLfI8qiAOjuaK2v\nTBjxphV32Ovq1VZCHsbOnaWUlMCVV5pO9L77mviv//J2wosXB52O+l//8nPrrbGIoeuvL3NqOZlr\neP0VAJ2dFr//fREXXWSUxUcf2VRWxvwLp57axuLFQa64wrRxyy1GyUZnLz//+R4+/tjHT39qTGO1\ntaGEDG0w5he3Qrnmmg6ndEdZGVxwgXf2YkJyi5w2W1oSF2maMmWPJzy3kMj1d0/ofwrrGypkTCb+\nB/c6EVHcx8TXaYo3rUyZsiehIqy7zPWePV6fxFtvJZa3aG2FTZvMNYcPT5wFuOs6LVgwiBUrgo4T\nfdmyIAccYDNpUiyc1nTSsWteeGEl99+/2+nYhw3r4KWXAo4yGTkyzIcfWh7n9K9/3eYxf918cxCf\nz+anPzXXWLw46DGH3X13ohLbscPqco0MgHHj2p2Q3gULWpwQ2+jzL1Rk5jEwEWVRAPR0tJbK/5CY\nHGfWiUhm6or+6H0+aGys8LR/zDGdXHKJMXXV1ob46KMizj03tuDPsGFeU8xDDxV7wlSXLAlSVdXJ\nE0+Y7Qce2M2oUWGnk165spkPPvBz992mA7322hYCgZjJqbjYprERj8noD38oTngOjz9ewrJlxqdx\n553NCfkOUUUSJRy2KCsLO/v32SfMVVeVOZ3/9deXMmFCu9PGkiUlCeG3BxzQwdVXR2dETQk+nttu\na2br1tgM6NBDwxQXl3PRRYXpGI5HlMTAQzK4+5BsZ3V2d9SZqh7SzJkhNmwo8WSrbty4i4kTU9dD\n2rGjlGefjWUgL1jQwqJFg5wFgKLZ1QsXlnna/POfY+csXx5k7txSj+llwoR2T0e+ZMkg5/1DDun0\nmKVmzgzx5JPFnvPXrGlm0qSYH2P06A5qa0NcdVW5I+fq1QG++EWjuIYP7+TBB0s8bSxfHmTKFNNJ\n19aGOP74Nv7xjyLCYRPtdOih7bz8sjf7uqkJ3n3XzJT23z/Mli1+pk0zSmz16hKWLIl97tEZg7sk\n9n77hT0JiDU1YSZPbnWeRXcziLtLoWQci5zZRTK49xK603HEr/HQE/z+WIZ2UZE3ZPKNN3wJ4aIA\nF164BzCdcEeHN1v673/3d+l4377d+x0eOdJrliottZk+vdVTyqOoyObaa1uciKvDD+/k0EM7XGan\ndmbMiNV+WrduN5/7XNiT6LfffmFntjJ0aCeWBQ8+GHA6/8ZGn2c2snp1CdddF2LVKiPHbbc1M3So\n7fF7+HwklB9333vUAS8IhYLMLPqIhoYAgUCAiopEe3Yuru2eSYwe3cH8+SHH1r9qVTN+v51gcnIr\nmPXrd9HYWOSJbiorCztmkmRtuBcEitaWevbZSif66c47m9i92+c4mxcvDlJVFebCC00bDzywm+3b\n/Y4ZasWKIB9/bDF/vpmtrF3b5Ml3qKkJ8+tf7+aFF2K1oObMaeHAAzsdP8ixx7Yzf36ZMwO6885m\nrr22zNPGww/v5qOPzHZTExx7bBsvvljimJWMY74y5cws2Uzt8cd3MWxY6vyDdHWyBkrNpd4icmaX\ngplZKKXeBnYDnUC71vpYpVQ18CAwEngbUFrrxlzKlW28tn+7323PjY0+Xnwx5iiePbvMqV1kFJqR\nz+2jCIX8TJkSv9jRLh5+2ORIHHKIGbm7fRrnnFPlye345S87aGiwnFF7W5vF9deXemz/N94YdMJY\nP/nE53GIX3ppuceJXpzojqCtDRYs8EZQrVoVU9CNjT7OPruNG29M/VVva7P4yU8qIs8mxK5dfo8f\nZM6cUo9P4tRTvTklJSWZDbiSOX4Ttzs824KQL+TaDGUDY7XWDa59s4A6rfUipVRtZHtWjuXKGvmQ\nlJRqxTm3fyEcNsdVVpaQ6YCoudnHxo1mxH7SST6+/vVmj08jfnW51lYzK4g+i3gGDw4TCvmc7Op1\n6xJnYW4n+ve/vychAc/v93bUVVVhGht9TmdeWxvilFPauPtu04bPZ3s6/ptvDrJ5c5Ej44IFpTz8\ncLunzXfeKWLo0KBj2vL7w8yeHXJmM9/8Zjs1NbZHrrKy5GtXp8ujECUh5Cv94bOInwJNBMZEXq8H\nNlHAyiKXdOXwjh/FLlxoJ0RTxYfOvvRSmVOA78wz9ySUDHnjDb8n5PTgg0spLjadoinWV+zMEu67\nL8DXv+7tdJ97zs+114Ycf8GyZUGuuy42K/jZz8o8obG33hrkzjsDTpv/+pePAw+M1WQ68MBOBg3C\nI+fSpS1ccEGFJ9rprrs6PEl4S5cGnUS/kpIwK1eWeHwtgYDxZUTlXLo0yA03xJ7N6NEd3HRTiyPH\noEGJJTBOOKGNqqr0n6EgFAr9MbP4H6VUJ7Baa70GGKK13hl5fycwJMcyZZVcJSW5O/bx44s46qiW\nhGPc1z3mmCAbN0YjgkJx55dx8MFmHQh3KOcRR7Q5o+nhwzuYMWOwpxM+8sgOfvtbM2I//fRWLrmk\n1eOPGDTI9ozA58zZw0UXVbhs/eX8+MchPvMZ01Hfd1+Ajo5Y0b8DDujgggtwOu3ly4M8/ngR3/ue\nua81a0q48so9WFYsnLa0NFm2uuXMXhYvDvLhh37H7HT77c1cdlmrp9yH328zf763uODZZ7cxcqSR\n8+WXfU5dKICWFjyO99raEFaPrMKCkL/kWlkcr7XeoZTaH6hTSr3uflNrbSulEgzASqmxwFjXcVRW\nVva1rD1m7Fibp59uxu/3s//+FpaVXVnr68Ns3VrkGeV/9rPl1NQkN/fYts0zz1hcdJHpENes8fPW\nW95Zwn774Yn4WbCglMmTfU4o59y5iX6XTz+NmXtOO609ofrrI4/s5ogj2rjnHmOH32efRJPREUeE\nXbMCc41ox75iRTBhZby77mr2rGdRXGxz6aUxBfTcc37PTGPFiiCXX17mkWvy5FZn++mniz3O6csu\nK+ehh3Z75Bw8OMzRR8fMYbfeGuSaa0ods96GDSVccMEez8zi299up7k5uqwqWHmmPQKBQF7/hqKI\nnNlHKXWda3OT1npTJuflVFlorXdE/n+klHoMOBbYqZSq0VrXK6WGAh8mOW8TxjwVZW6+Rx5UVEQj\nJLIfDdXYWJqQWHb88bsoL/d26FEzlc8HF10Ui4566ilvB7lwYSmPPuo1GYHXcfvggyUsWhTk5z+P\nhZzOnRuT4f33ExVVOAyffFLkjNrvuKOZ5cubee4546meMKGNH/yg0tNRuzvySy8129FOGUzSnft4\nrb0d+65dPsrLYwl1++7bmTTEtyuKi23PmhfLlhnlEL3uJZeUM21aiHnzYnKdfHK7Uwpl3brdvPaa\nxbRpRlmYyKbcR8V1RaFE74ic2aWyshKt9XU9Obd7v6JeoJQqU0pVRl6XA6cBLwMbgSmRw6YAv86V\nTIWKu6RGqn1btpQzfnw148dX8/rrJVRVdV1MMBAw1VtrasLU1ISprQ3x9a93ONvTprU6+Qvz57cw\nYkSHpxNety7AkiVB5/ibbzYVYWfONLON+nofs2aVEQpZbNhQwoYNJUlLkMdz3HExGW68MciTT3pD\nooqK8Mg9b16ICy+s5Ec/quBHP6pg0SITyRR9f8mSIBMmtDrbY8e2M3u2975tO1ampL7ex8yZ5UyY\n4FWmY8fG5IqtTdHA0083M2JEhxPkUF9vlleNX/tbEAqNXM4shgCPKaWi171fa/0HpdQWQCulphIJ\nnc2hTAVJOr9IfETWxReXe0wzhx/eye23Nzt2+9Wrmygt7Uxw0p51VpuzvWFDMSNHdjr1kG6/vZlf\n/CLINdeYNmfObKW93XZG9K2t0N5uUVUVdtrYb78ws2bFTFWbNxd7optmzw4xYkSnY9patizIPvvE\nEuxGjuyIRFyZ86PRUG6n9z77eJXipEntnlXv5s8vZd26ZjZu3AVAeXkns2ZVpa3jdNxxHWzYEHau\nW1kZ9iybGv1fWVnCO++k+QAFoQCRpLw+pK+npqmioZItPv/AA7vYts2MykeObOcLXwglJA7G14Zy\nJ4nde28T55/vTYhbubKZzZtNmyef3EZtbbmnjMY99zSxbVuR4/Reu7aZCy90O7hDvPKKz1Mm4/vf\nb3PafPllHz/5SSuzZpnzb7opyO23lzilO6LlPvx+m9ZW02ZlZZj//d9ix+9xzz1NHlNXTU2Yxx7b\n7YTcDh8eSloTK36fzwdPPRUNG27n619PblaKfub5vgBQIZlNRM7s0ZukPFEWfUh/foHSZQtHOy+3\njP/4Rxl79phOddCgMF/6UkvK+lLGNBVi3jzTkZtw0mZs27y/Z4/NwQfbnH22t27TrFkhp/O/5ZZm\nfD7LU4Dvd78rIhAw3+UDD+zkjjtKPde8//7dPP64mXmceGI7o0Z18uqrRZ42Kio6eeopc8x3v7uH\nt94q8lSQHTmyA6UGA7FM82Rrh8cr467WF4/ifp7JlHm+VJUtlM5N5MwuBZPBLfQt7o7InWcB3o5+\n2rRKnnqqnWDQj98fpqYGdu4s5eOP/Z5OdefOUoYMMR1jfX1pQkLc/vvHnA4HHdRJKOT3dNodHV6n\nRGOjj0MOiZmMhgyxOe+8Co/D2pQYN+axW2815UCi71dVhWloiEVxHXdcB62t3qqzl11WzsKFQUaN\nMtd+880iVq2KLe26cmUJU6fGSpLPmFHOPfeE+cEPoorU5yjS+A49ma+oK7q7Mp4g5DOiLAYIyTqi\n+HUsolRVhXnllRIn+W35ch8HHdTpKbVx5ZXlTmkPMMuIxvs0Vq4MOsUAr7pqD+ee641seuSRXVx/\nfdCp3urz2Z6FhXxJwivc0U6XXFLOypXNToG+efNCXHKJtwTJI4/s9vhFNm8u4qCDOtm40SiUU05p\nTcijWLbMu/zrk08Ger0EajryIbNfEHqDKIsBQCZLoLod4suWBT12/BkzvIohSiAQ69lLS+2Ech5/\n/Wus3lR7OwmddmkplJfDZZcZ/8HSpUFWrBjEo4+afIVhwzo9mdLREuZuystjCXfxpT0AOjth7tyQ\nM6NZtizIe+/FtND77xcxfHgsg/uuuwL87GetXHqp+eqvWBHkllu8GdyZPl/p6IW9CVEWA5T4JVDd\nZqk9exJXrCsutj3Ljy5ebGz/UcrLOxkxImZCGjGik3326WTnTtPWvvuGPZ320qVBWlutBBPR/Pkt\nPPqoabOqCu6+O+AsV/ree1ZCtFNRke2SIeyR8eabTZa4O9pp6dISpk1r89SGCgTgpZeKItfwc9hh\nHU401PDh5hrPPGOc6tEV67KNLDcqFDqiLAYAmSyBGj8Sdq/atnx5kMrKTm69tdwZgd96awlr17Y6\nxzc0FHH11WVOtNOiRYO48spWp1M+88w2T6c9b14pd96ZGDF04IFhx3Q1YkQHZ55pucxMLQwZElNI\nBx/cyaJFpZx1llFy//xnEevWDXKuccMNpdx9d7NnxhMNEfbWhurkiSeMKe7mm4OUlnYyeLBpo7Ex\nwDvveLPZP/e5AFVVbSmXmO1pRy/LjQqFjERD9SG5jpBwZ2yPG+eNXEq26tr27aX4/T5qaoz93Vsv\nqpWjjopFQ7W0+DnrrMGesFd3Fvg99zTR0mJ5FiE65ph2/vWvWCTS4sVBPvOZDt5914zijziinUmT\nvKvz3XXXbt5/34xhhg7t5KKLUq8jUVMT5qGHdntWykt2TFcr0G3fXpqwQuDGjbvYscOX4KPIJJKp\nUKJiRM7sUihySjSUAMQ6scbGQELkUjJn8vDhociX3GwXFdl8/vPG9DRokO1x6q5aFWTVqiaeecZ0\nmBMmtHnWdNixw2LQIMtj/gFTlypa4XXPHptPP/Xz6qtGoXzmM2FPtJM53nLe9/ls1q5t4n/+x1xz\n3Lg2Dj007CnY5/arADz5ZDE33RR0wnNvvDHoPIdkJItwsizERyEIcYiyKGBSjXTD4cSS2aedFupy\nZLxrV4APPyxyMrTXrGlm2rRYWOv06eXcfnuzowy+/vV25s1r4bXXTMd+7LGdfP/7lR7zzyOPtBMI\nWPzkJ6bjvvfeJl55xWvyWbo06BQGvO22Zt58M1Yg8dprOwmFYsUKR40yS6a6zVQHHhhi9erYLOCG\nG0IsWhS79zvuKOH660P89KflkWfhNSElMzGlWotCEPZmRFkUKMlCOd3KYOHCoCcpb9u24i5DPxsb\nizyhs089lbgs3Z49uKKKSrjwwtjs4lvfSj7qjtaGAnj7bX9CAcRFi2Ir5YVC3lXvtm71s2JFsdPx\nr1w5iFWrmhkzxtj999nHdOpFRbGIqbKyTk+p9JtvDnLkka3U1bU6zyaeZL4EcUYLghdRFgVIfChn\nbW05CxbE1r+Oj36CxKS8P/6xnebmWFKeO+oIjDlnwYIWZs82M405c1ooKoqVD1+yJMjatQGnI7/2\n2lIWLgxSW1vuOt72hNN+9FGiqbSszHYq2d50kzcJL1m4bmtrbAnUm28OUlVVys9+VuE43i+7rILJ\nk1s9SXhr17am7ezj3xdntCB4EWUxAJgwoZ3p0ytS2tjjk/JGjuzgH/8ocRLVli/3ccIJTaxc6Xfq\nMo0Z085NN8UijyoqbC65JHaNyy8v5957m/jtb03bF13UyuDBsRF+TU2YkhL4xS9a+POfTZtf+lKH\nZzEks/52bK2JWbPKnfpRYMp5/PCHXtPWtGkhT+LgY4/tSlAoI0d2Ooozlb8mE0RJCEIMURYFSLyd\n/fTTvc7mKKlCP2+8McT06eWOIpg7t5T16zuor4/5B44/voMf/7iVq64yCuW73231tG3WurZc2zY/\n/nFMmWzYUMIjj+zi/fe9Por29thKeCUldsJaE+61KIqSfDuHD/fOgMJhK8G0NWXKHs/2qaemruUk\nCEJmiLIoIOJrP7mXSV29Go+N/d13i5yKsfFmqdZWf8JovKPDLD3qLrVx991Nzkyho8P2ZFsvWxbk\ntdeKPHWa4uns9Hbkq1eX8ItfmJIdYLKnr722hfnzyxw5tm/38cIL5mtZX28lRHUddFCnk6exeHEw\nIRrK3F+iuStfCvgJQqEieRZ9SDZjr+OryAIpcyLS5Vl88EEpZ57pzS149NHdfOc7+3j2TZmyh08+\nia49UcRddzXxz38ak9LnPtfBtGkxX8HLL/siZTRiK+mNGtXJxIld50Dcc08TTz5p5D7xxHYWLRrE\n88+b7dGjO1i0qIU//rHYuc9Bg2zefNNbar2r0urJtpPVdcqWMimUeHuRM7sUipySZzHAiXdob94c\n4IADbI955+CDAyl9FPEkGx8EArZngaSVK4N8+KHF+vWmjlNtbQjLgs9/3iiH4uJE5/P27bFoqeXL\nS7jttiC3397M00+bzj2Zuczvx8nt8Plsamv3MH26+VrOmxfiq19tpqYmmjxo2j7gAHN89H6TOaPr\n6joibXoVZ7KciVRFAmU2IggxRFn0EQ0NAZqbbSoqst/2qFGdXH21t6TF8ce3UVVl3k9VniLa+Q0f\nHvI4s084oZ3Kyk4++aTYVT68g5/+dHBC3sTDD5vO/pxzWhN8BaZCrFE20aQ8ny+m1MaPb2XZsqCn\nAuycOaXOTCK6MJG7bpO3I8dTTddN/L5MFWeqIoH//nfXocaCsLchyqIP8HZwdq87murqNtat2+2Y\nnaJrNbixLO9I2J17MGhQ2CPTgw/u5oMPYo7nQw8NM3SonxUrBjlmpXffTSw2uHt3bPYaDCbOZDdv\nLvYoj699rd3TEU+dug8//nHImX0sW1bCccd18vzzsTaKimwGDTL3l41qrz2p6xQK+SWDWxDiEGWR\nZXrawaUzeTQ3xzr3MWPamTOnxcl5mDOnhY8/tvj9782Ifdy4Yq68spzXX499vE8+GUtua2z0eZLf\nFiwo5eGH2z1mpTPPbE1wLodCsXIeRx/dztKlQafKbLLy4snMXUccEXZMXbW1IUaP7nDavOWWoOc+\nvv3t1sQGekBXORPJlEl5uWRwC0I8oizyAG8BvyKOOqrF8/727aWeSqo/+UkFv/rVLqfm0v77d/LX\nvwY8Poyzz27jxhvNx1taajN9equT3zBhQqJCCgRsj1npL38p5je/CXhKhpx1Vpvz/t//XuxRQEuW\nlHDddSHHxLR4cZCyMptrr21xigt+7WvtzJ1b5pl9XHJJbKbx3nsWH35Y7NzH4Yd3cvvtzU4SXm8y\nqbs6TzK4BSE9oiyyTHfNHo2NAbZuLU5wVldVec+JX1goFPI7negvf9mU4D948MHdhELGVDR+fBvn\nnhuLSpozp4xFi4JO5vScOS3446xOPh8JDuwPP/SanhobfaxdaxzgNTVhduxo5e67TUTImjUl/OIX\nrey3X5EndyOeUaNiM43okqpROefPL+OJJ3ZRV9dAIBCgoiJ3fgPJ4BYEL6Is+oBoR5NJBxcMJtZL\ncjurASorO7n22pCT47B0aZB58wY559TVees4VVWF+eSTWILdhAntnvcbG31YViw57r77AnzjG+0e\ns9NRR3Uyd26pZ2Zx880tTo7Dcce1M2ZMu6Ow7r57N59+6neKAi5ZEiQU8nvauOaaUm69tZn//m8j\n17hxbVx/fez9F19M9JOUlHRSXd1GZWUJfRWZmCoaSpSEIMSQPIs+JJPY64aGgKduU7K1J5KtueBe\no2H06A5uuCHExRfHqruef37MbzJ6dEeCieiggzp47DEzKzjppHY++9k2Jk2qchzc77xjccEFbY6C\nWrw4yLBhHWzb5s1xiPpampqKEvI0HntsF3/9a8Axf82eHeILX2jn3HOT50A88MBu/vnPYs/x48aF\nqKpqS/ssexrmmsnz7w6FEm8vcmaXQpFT8iwKmEzMVsnWXDjttHZn5jBvXoiystgKc+Gw99jGRh9b\nt/qcmcT69QG+/308pq/Ro2H58ibeeccog3PP7WD69Apn1H/99aX88pdNHHfcHkduMJFDkFiIEMza\nFPGO9GnTiHP+N1BX1+Ccc//9ZZ4Zz8knpy/VkWpmIAhC9hBlkQV6m7yVzj6eTKF8+ctBNm6MluiG\n00+PzTyefLLYU5pj1apm3n/f70RPJVt69BvfaKex0e+sZ7Fihelw3T6JtjaLoUNj8m3eXOn4G9as\nafIk9S1fnrzDjq/tFH/Pl1/e6mkjkyiy3oS5ytrYgpAZoix6Sa5GtfG1oNz/t29PXAlu0KBYnkV1\nddhTlfa55xI/9s5OPArk0ktNbajf/94owm98o52qqpiDOj5C6/rrS7n66pBTBLCsLMzgwR0J4bef\n+UxsDe74irANDQFPmzNmlFNXl768eG8RZ7YgpEeURS/ozqi2q9lHJgrHe4zPc8zw4SGWLy9yRuRL\nlrR4oopKShLXqrj11qBT0G/58iClpYkjfp8vZqr65jc7GDw4dUc6dWobP/pRpcf2/8QTuzj88HYm\nTzb7Ro3q8Di0V68u6XVF2J7ODOI/D1ESgtA1oixyQFfKIJXCiRIt05FOKZ1wQhMbN5qRf2en5Qm1\nfeMNH7fd1syzzxp/xIkntvONbzSzcWNHpOZSkPr60oRZwKZNxZ6ZhnuUP3x4iKVLi5ykvEMOSfSr\ntLVZHHVUCyNGdDj3Mns2KTv2nnb83Z0ZiI9DELpPTpWFUsoPbAHe11qfqZSqBh4ERgJvA0pr3ZhL\nmXpDJp1bT2zqO3YUc/75sTZHjWpPOMbni5mf4s1Su3cHPKG2t94a5OOPfZ7yHjt2lDJ8eCgSxWHK\nesev2x0fcht/X/PmxWYJixYN8vhJzCp2MSURJV3H3lOTUKbHZqOEiCDsjfRwDbEeMwN4FYjaPGYB\ndVrrw4GnItsFhencTERPT0ao1dVtLF8epKbG2PJXrAhy6aXGbl9f72PatErCYaM0osesW7ebf/6z\nhIkTBzNx4mA2b670tNnRYVayi7ZxySXlvPaa39lesKCUtjaLhoYAO3aYj6KkxFSRfeKJAE88EWD6\n9FZOOaXduaa7GGFDQwCfL5aUt3btIF5+uZjhwzuYP7+F+fNbOOCA1Gar6uq2LjvndO9HZRAEIXfk\nbGahlDoQOB24Abg8snsiMCbyej2wiQJUGOk6vq5mHw0NAU/i2osv+hNWjwPviHvPHj9Tp3odwRs3\ndjgzi0zYswe+853qiEw2Bx0Upqws5hQvKbEZMaLTUwHWW5aklXXrdnvWiRg1KkR1tbd8eLbprQlJ\noqNDS5MAAA5wSURBVJ8EoWfk0gy1FLgS2Me1b4jWemfk9U5gSA7lyRnpTCvushmjR3ewalWzs4Z0\nss7MSpNSk6xDLCqKlQq//fbmhDW7N27cxdKlsaqzd90VYP/9w44ca9b4eOutIk9uxmmnhZwciVw4\nirNlQpLoJ0HoPjlRFkqpM4APtdYvKqXGJjtGa20rpQoynTwTkvkyovvdHfvChcFImKwZoUdnC/Ej\nardCWb48mDCrcJcoLyqyOeqoFs+CQI2N3oU2Sks7Wbgw6FwjPgv8qacCnlXuomVJujObySdESQhC\n98hJuQ+l1ALgv4AOYBBmdvEo8DVgrNa6Xik1FPiT1np0kvPHAmOj21rruYWQWh8IBGhr83ZKtm3z\n7LMWF15oHMFr1wY54YQwO3ea6cKQITabN/s873/2s2HGjPGGpW7a1EQwYoE57DDwuRIWduywGTOm\nwnP80083M3So5cjw3HMmhBZM7ajjjjP733zTtFFZaXPSSV0vifr0000MHdq128u2berriZwDVrpp\nUQoCgQCtra0Jz+7EE+0et9kXJPvM8xGRM7sUipyVlZUopea5dm3SWm/K5Nyc14ZSSo0BrohEQy0C\nPtFaL1RKzQKqtNaZ+Cz6tTZUfIx+shyKhoZApJBgc8K5XdUiSvb+xo27EmpDJatf5F6D+5xzYnWe\nNm8u4qGHGtMuJRq/r7PTcmYvq1Y14/fb3fYXZCtM1V17J5+XOy2UGkEiZ3YpFDl7Uxsq19FQUaIa\n6iZgvFJqK3BKZLvf6SraZsuWcsaPr2b8+Gq2bCnnpZfKPNvuY8aMqXD29Yby8k5PNFQyP4Zbrn//\nu5g5c0JOZNPVV4c8Jcjdtv9oxNX27aUJ+95809STmjOnhYULBzFqVHu3Ir8aGgLU1pZzxhltnHFG\nG7W15VmJYkoXLSUIQvbJeVKe1vpp4OnI6wbg1FzL0NNs6mQO1smTW+McxeEunbDp1sf2+0lIjoOu\nnbLxcsX7F6680kRLDR6c+pl0dCQONr7whU6n5HhUju500snWxPAlGZ7k80xBEARDf80s+o34mYGb\nZCPubIyEfT7vbCU+N8Mt02uvlbBhQ7EzGl+9uoRg0EwLejOidleujSos90zF57OprQ05+2prQzzz\nTLHzLBYuLE2oZpuOcBhnrY5UbXT1eURx54MIgtA/7FXlPvqiQqk7JHX16iaGDw+xerXPOWbdut1s\n21acMFtx+yjcMl18cbmnemttbSjlmtCpIqrGj29l/PhWT05E/D3GL9C0fXtp2gzuaDnybJHJ5+Gd\n6dlSmkMQ+om9SlmkI5OErWTmoGhIanQ7WiHW7/cxaFAH48ZVJ3SIXcsRW5vi8MPbE5ZYheTmMrdc\nW7aUO0rs5JPTK8Phw0PMm1fkKQ/e2Gh5KsSmUlqp76N3CXBSmkMQ8oe9bqW8TKJzemtDd19j1apm\nZs8u4/XXjV6uqQk7OQxgZh4dHVaCTF3J0JOIqvjoqVTPwV1vKj5j+6ijWnr0PHrjI8rmKna5oFCi\nYkTO7FIocvYmGmqvUxbQtw7VZB3cXXc188MfmhDUFSuC3HJLCV/8ohmxb95cxCOPNDq2/EzLa/dG\nWXSnE86F87m35dvziULpNETO7FIocsqyqt0k1yPT55/3O76A11/3MWVKG1u3Gvv/pZd6lynNhHTm\nnWzWP8rFs+rqGvG+FUEQ+oe9Uln0JT5fYuire8ARCNi0tlqOPyEaktpdelPqO5mMyUJa84Xq6jYq\nK0sogIGbIAxY8riLKExMOfESJ/R1w4ZiRo8OOwlyhx1ms3p1iSectKXF36Oy2z0t9R0v4+rVJd0O\nixUEYe9CZhZZprq6rcuCfJdcUs7kya2Owxvg0099nH++yZjLpl0+lS8gXkYp0y0IQjpEWfQBbjt7\nW1timOzpp7c5ZqhVq5qdxY4ge+Gh6RzD4gsQBKE7iLLoI2J29kRn85FHxvwJycqF95ZM1vX2ypjV\nywuCMAARZZEDkjmb3TOHXKzcFr+ud76HoAqCkF+IssgRmYSHpjuuO9dyK6C+MnUJgrD3IMoiT8h2\nx+1WQH1h6hIEYe9CQmcHMNHQ2aqqxCqzMqsQBKE7yMwiCxTCegzZNnUJgrB3ITOLXpLJegz5gqww\nJwhCTxFl0Qv6arEkQRCEfEOURY7oSTkPQRCEfEGURS9ItjxpqjLbhWKqEgRBSIY4uHtJOsexrPYm\nCMJAQJRFFpCOXxCEgY6YofqYTE1VgiAI+YzMLHKA5DgIglDoiLLIEaIkBEEoZMQMJQiCIKRFlIUg\nCIKQFlEWgiAIQlpy4rNQSg0CngZKgADwG631VUqpauBBYCTwNqC01o25kEkQBEHInJzMLLTWe4CT\ntdZHAV8CTlZKnQDMAuq01ocDT0W2BUEQhDwjZ2YorXVL5GUA8AOfAhOB9ZH964H/zJU8giAIQubk\nTFkopXxKqZeAncCftNavAEO01jsjh+wEhuRKHkEQBCFzcjmzCEfMUAcCJymlTo573wbsXMkjCIIg\nZI5l27nvn5VS1wAh4EJgrNa6Xik1FDPjGJ3k+LHA2Oi21npujkQVBEEYUCil5rk2N2mtN2V0om3b\nff43adKkz0yaNKkq8rp00qRJz0yaNGncpEmTFk2aNKk2sn/WpEmTbsqwvetyIXcW7jvv5SwEGUVO\nkTPf//YGOXNlhhoK/DHis3geeFxr/RRwEzBeKbUVOCWyLQiCIOQZOcmz0Fq/DBydZH8DcGouZBAE\nQRB6TqFmcG/qbwEyZFN/C5ABm/pbgAzZ1N8CZMim/hYgQzb1twAZsqm/BciQTf0tQIZs6umJ/eLg\nFgRBEAqLQp1ZCIIgCDlElIUgCIKQlrxe/EgpdRBwL3AAJmHvTq31inwrQFhohRKVUn5gC/C+1vrM\nfJRTKfU2sBvoBNq11sfmqZxVwFrgSMx39ALgDfJETqXU54ANrl2HAtcAvyRPZIyilLoKOA8IAy9j\nnmU5+SfnDEyOmAWs0Vovz4fvplLqLuDbwIda6y9G9qWUK/K8f4j5jV2qtf5DV+3n+8yiHbhMa30k\n8A3gYqXUEeRZAcICLJQ4A3iVWMZ8PsppYxI2v6K1PjayLx/lXA78Vmt9BOazf508klNr/a/IM/wK\n8FWgBXgsn2QEUEodDFwEHB3p6PzAZPJPzi9gFMXXgC8DZyilDiM/5LwbmBC3L6lcSqnPA/8P+Hzk\nnFVKqS71QV4rC611vdb6pcjrZuA1YDh5WICwUAolKqUOBE7HjIatyO68kzOCFbedV3IqpQYDJ2qt\n7wLQWndorXeRZ3K6OBXYprV+j/yTcTdmcFimlCoCyoAPyD85RwPPa633aK07MRaFc8gDObXWz2L6\nHTep5DoL+JXWul1r/TawDTiWLshrM5SbyMjjK5ikvrwrQBjRyn8HDgNu11q/opTKOzmBpcCVwD6u\nffkopw38j1KqE1ittV5D/sl5CPCRUupuzCjzb8BM8k/OKJOBX0Ve55WMWusGpdQtwLuYUkC/11rX\n5eFv6J/ADRHzzh7MwGsLefY8XaSSaxjwv67j3scMxFOS1zOLKEqpCuARYIbWusn9Xr4UICyEQolK\nqTMw9swXSRy1A/khZ4TjI6aTb2HMjye638wTOYswyaartNZHA0HizA95IidKqQBwJvBQ/Hv5IGPE\nlDMTOBjTkVUopc5zH5MPcmqtXwcWAn8Afge8hLH5u4/pdzmTkYFcXcqc98pCKVWMURT3aa1/Hdm9\nUylVE3l/KPBhf8kXT8QM8d8Y+3C+yflNYKJS6i3MCPMUpdR95J+caK13RP5/hLGxH0v+yfk+Jkjg\nr5HthzHKoz7P5ASjdP8WeZ6Qf8/yGOAvWutPtNYdwKPAceThs9Ra36W1PkZrPQZj9tlK/j3PKKnk\n2g4c5DruwMi+lOS1slBKWcA64FWt9TLXWxuBKZHXU4Bfx5+bS5RSn4lExaCUKgXGAy+SZ3JqrWdr\nrQ/SWh+CMUn8UWv9X+SZnEqpMqVUZeR1OXAaJjomr+TUWtcD7ymlDo/sOhV4BXicPJIzwveImaAg\nz54lJjDgG0qp0sjv/lRMEEbePUul1AGR/yOA7wAPkH/PM0oquTYCk5VSAaXUIcBngRe6aiivM7gj\nEUXPAP8gNkW6CnNTGhhBHoTTKaW+iHEe+SJ/92mtb47YNfNGTjdKqTHAz7TWE/NNzsiX97HIZhFw\nv9b6xnyTE0Ap9WVMsEAAeBMT7uknj+SMKNx3gEOiZtw8fZY/x3RoYYz/70KgkvyT8xlgP2LRmn/K\nh+eplPoVMAb4DMY/cS3wm1RyKaVmY0JnOzAm/t931X5eKwtBEAQhP8hrM5QgCIKQH4iyEARBENIi\nykIQBEFIiygLQRAEIS2iLARBEIS0iLIQBEEQ0iLKQhByiFJqk1Jqan/LIQjdRZSFIKRAKfW2UuqU\nXpx/XaScipu8rBskCOkQZSEIqbFJUXAxUkZbEPYaJINbEJIQmRGcC7RiqorOx1QbvRCYC7wV+f9L\nrfVBrvPeBqYCxZhSC1akjW1a668opf4EPAucglks6TngXK31J7m5M0HoGTKzEIQkRAosvgucobWO\n1icCOAmzAM4Eks86bMDWWj8JLAA2aK0rI+XWiZxzLvADzHLBAeCKvroPQcgWoiwEITOiiuE6rXUo\nspRuJufEKxQbuEtrvS3ShgaOyqKcgtAniLIQhO7xXhbaqHe9DgEVWWhTEPoUURaCkJpkDj33viBm\nrWgAlFJ+YP805wtCQSLKQhBSsxOzpnoqtgKDlFKnR1Z0nAOUuN6vBw6OLObjJmmElSDkM6IsBCE1\nN/L/27tjG4SBIIii0yPSFkENLpEySO2I3ASAZDuZlOC96HQNfO3ppE2WmdmS3HKZFL4rdO/5LD96\nJnnl/Ez123e9zszjcL9fziYQ/p6vswBUJgsAKrEAoBILACqxAKASCwAqsQCgEgsAKrEAoBILAKo3\nWh6tvjPxcNgAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for No Kids\n", + "pos:care (2.9) street (2.6) gay (2.4) years (2.3) health (2.3) drink (2.2) dc (2.2) white (2.2) ht… (2.1) album (2.1)\n", + "neg:kids (-5.7) school (-4.1) child (-3.3) family (-2.8) kid (-2.8) daughter (-2.7) children (-2.7) utah (-2.6) moms (-2.4) parents (-2.4)\n", + "Top Coefficients for Has Kids\n", + "pos:kids (5.7) school (4.1) child (3.3) family (2.8) kid (2.8) daughter (2.7) children (2.7) utah (2.6) moms (2.4) parents (2.4)\n", + "neg:care (-2.9) street (-2.6) gay (-2.4) years (-2.3) health (-2.3) drink (-2.2) dc (-2.2) white (-2.2) ht… (-2.1) album (-2.1)\n", + "predicting ['Caucasian', 'Hispanic', 'African American', 'Asian'] for 1035 brands\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n" + ] + }, + { + "data": { + "image/png": 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aNR7q6zuor+/A53OwbJkWSoZhJZm66uoCHD5ssHOnm3vuCdjl3//6V2eP/RKV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\nNpdP470JsnS0jf4EoIT4xhmqJpKuOes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BWutRwKPAzcBWY8yhae81GWNqPY6pB+oTr40xi1pbW4c/2GESDAbp6irNkbilHDtI/IUm\n8RdWKBRCa70kbdM2Y8y2nvbPe4IA0FrfCnQAs4B6Y8xerfVYnJLF+3I4hd29e/ewxjicQqEQpZrg\nSjl2kPgLTeIvrHHjxgGoXPfPSxWT1vpwrfXo+M+VwDTgaaABuCS+2yXAT/MRjxBCiL7lqw1iLPDr\neBvEU8DDxpjHgK8D07TWLwLnxV8LIYQoAgWpYhoCUsVUIKUcO0j8hSbxF1ZRVjEJIYQoPZIghBBC\neJIEIYQQwpMkCCGEEJ4kQQghhPAkCUIIIYQnSRBCCCE8SYIQQgjhSRKEEEIIT5IghBBCeJIEIYQQ\nwpMkCCGEEJ4kQQghhPAkCUIIIYQnSRBCCCE8SYIQQgjhSRKEEELkWVNTkKamYKHD6JMkCCGEyKMd\nO6qZNq2WadNq2bGjutDh9EoShBBC5ElTU5DZs0Ps3etj714fs2eHirokEcjXB2mtxwP3AUcCFviO\nMeZOrfViYBbwdnzXm40xv8xXXEIIIbzlLUEA3cBcY8wzWusa4P+01o04yWKVMWZVHmMRQoi8q63t\nYv36VmbPDgGwfn0rtbVdBY6qZ3lLEMaYvcDe+M9tWuvngaPib6t8xSGEEIU0ZUqYxsZugKJODpDf\nEkSS1vpY4APAH4CpwNVa688DO4DrjTH7CxGXEELkQ7EnhoS8J4h49dKDwJx4SeIeYGn87duAbwKX\nZR1TD9QnXhtjCIVCeYl3OASDwZKNv5RjB4m/0CT+wou3+yZsM8Zs62lfZa0d9oAStNZlwCPAL4wx\nazzePxZ42Bhzch+nsrt37x6GCPMjFArR2tpa6DAGpJRjB4m/0CT+who3bhz0o0o/b91ctdYK2Ag8\nl54ctNZj03a7CPhbvmISQgjRs3xWMU0F/hv4q9b66fi2+cBntdaTcXozvQrMzmNMQgghepDPXkzb\n8S6x/CJfMQghhMidjKQWQgjhSRKEEEIIT5IghBBCeJIEIYQQwpMkCCGEEJ4kQQghhPAkCUIMuVJZ\nLUsI0TtJEGJIldJqWUKI3kmCEEOm1FbLEkL0ThKEEEIIT5IgxJBJrJZVVxejri5W9KtlCSF6V5AF\ng8TIVUqrZQkhetdjgtBafxhnhtVeGWN+PaQRiZIniWF4NDUFaWuz1NQUOhJxsOitBLGRzARxNBAD\n3gEOw6meegN477BFJ4QAnN5hqYXuLVOmhAsckTgY9JggjDHHJn7WWs/HSQq3GmPatdZVOMuENg17\nhEIc5NJ7hwHMnh2isbFbSmpi2OXaSH0dcLMxph0g/vf8+HYhhBAjUK4JIgycmrXtg/HtQohhJL3D\nRKHk2otpAfALrfXDwJvAeOBC4MrhCkwIkZLoHRYMBqmpkecykR85lSCMMfcDpwEvACHgeeA0Y8x9\nwxibEDk7GOZ/qq3tYuxYVegwxEEk53EQxpjntNZfA8YYY3b394O01uOB+4AjcXpHfccYc6fWuhb4\nMTAB2AloY8z+/p5fHLwye/i0Sg8fIYZITiUIrfWhWusfAh3Ay/Ft07XWy/rxWd3AXGPM+4HTgSu1\n1icANwGNxphJwGPx10LkROZ/EmL45NpI/W2gBecpvzO+7UlgZq4fZIzZa4x5Jv5zG0411VHAdGBT\nfLdNwKdyPacQonQ0NQXZs6fPsbeiiOSaID4MXG2M2ZPYYIx5G6e6qN+01scCHwCewqmy2hd/ax8w\nZiDnFAenwfbwORjaLobaQL6zxDTw55xTI9PAl5Bc2yD2A0cAybYHrfUx6a9zpbWuAX4CzDHGtGqt\nk+8ZY6zW2vWIobWuB+rT9iMUCvX3o4tGMBgs2fiLMfb6esvjj7cBUFenUKrn+BLxW2t54gnFrFnO\nzWrDhjBnnWVRqrgbgQv5/Q/0O9uzxzJ7dk3GQL/HH1cl2eBejL///aW1Xpz2cpsxZltP+ypr+y7y\naa1vwqkKWgA8BFwALAcajDGr+xFYGfAI8AtjzJr4theAemPMXq31WOA3xpj39XEqu3t3v3NT0QiF\nQrS2thY6jAEp5dghFX9TU5Bp02qTN626uhiNjU09lj4ST8yFHn9QyO+/v9/ZYI8rRqX++z9u3DiA\nnDNzrlVMK3B6Gq0DyoDvAT8D1uT6QVprhTO/03OJ5BDXAFwS//kS4Ke5nlOIfMh1lTyprvImA/1K\nV58lCK11AOfGPtsYc2CgH6S1PhP4LfBXUpMA3gz8ETDAMeTezVVKEAVSKrH39MSfHn8u3WNzffrN\nV1fbQn//g7nOpqZgfKBf23CFN+wK/f0PVn9LELlWMe0BjjHGdA88tCElCaJASiH23m5i2fH3VXWU\nS4LIZxVKMXz/g6luK4b4B6PU4x+uKqbVwFKttZSfRVHr77iI2tquXm90w1E9UupVUX19Z2LkyLUX\n0zU43U+v01q/TaqKyBpjjhmWyIQoEn2tkpdIIumllp5uoIUY9V0sDeyi9OSaIP4b79XlSq+fmhjR\namu72LixhcbGcgCmTetM3hhzXZHN64ba1801l6VWC7Gug0xDIgYj1yqmJ4HzcRqrfxH/exrwh2GK\nS4ge9VVFEw772by5nM2bywmH/UDuA7Vy7bHkJZeql9GjY8yadYBZsw4wenSsX+fvL5mGRAxWrgni\nHuBc4GqcdSCuxhm4ds/whCUOBoMZkZt9A0+ca+/eSq65pjp5U7zmmmpee60qpxvlcN9Qa2u7WLKk\ng0ceCfLII0GWLOmQah9R1HKtYvoUcJwx5t3462e11k8BrwBfHJbIxIg2kKoPryqaxx7rZufOQLJK\n6bzzuhk9OpbcByA2vA/qOWtqCjJnTnUytjlzqmlsdKrAhqOdoD9tI0J4ybUEsQeoytpWyQCm2hBi\nKJ/UDxzw8+KLZckqpVde8bNyZTjZ62jevA5qayM59UQq1ICuwVRr9cVpG2misbFJ2h9Ev+Vagrgf\nZ0W5dcAbOIPargDu01qfl9jJGPProQ9RCIfXE3FHh2LFisrkU/mKFZU8+GAzS5e2AzBhQjejRnUR\njQaZOdOZiDga7blvRSBgk/sFAkM786hX/D4fw95wLaUGMVC5JoivxP++OW2bim//Stq29wxFUGJk\nq63tYu3aMHPmOE/La9eGc54DKbu30OuvZxZsneqlAAsXOtvXr29lz55K5s+v4swzIwDMn1/FffdF\nOeqoDtdnXXbZIcmb9ebN5TQ2Rob0BpsdvzQai2KWU4Iwxhw7zHGIg0hTU5BFiyq58ELnxrtoUSVb\nt3bS1ub0OErcuHtqp0i/YR9zTDtr1vi59lon2axa1c6ll2bOHPrQQy3Mnt3JihWVAMyb14Ev18rV\nYZDdfVbaCUSxynnJUSGGy/jxUf761/LkTX7t2gAnndTJvHnVySQyb141W7Y4VS+7djk3+kQiOeus\nVrZujQIQCkVc5/f7rasa6vzzO1z7DcfNOpfG5ylTwjQ0OC3p2aUaIQqpgM9RYiTYtasyecPOVXZ3\nzy9/uYuNG4MsWNDOggXtrFpVTlubn7lzD1BTY6mpscydewC/H7ZvDzF9+iimTx/F9u2peflDoQih\nUAS/3ykhpDdS96e0MJSNun11yU3fL3FNspiOKCZSghADtn17KK0dIcCZZ+Y2iVl2FdN3vhPki1/s\n4rrrnHOtXBnG74fOTsXmzU731fnzO2hr87u6iT78cITdu33Jp/67727jf/4nwIIFTiP1/fcH+chH\nOnosGQzXNBQ9dcl9+eWyjDgmTuzO++hqIXIlCUIMyK5dla6bdUNDJKcqEqfnTqpN4NvfbuMrX0m1\nG9x4YzVbtrSwfHmqWmj58kp+8hP3ZMKRiMq4wc6fX8XSpR1cc02qAXz06C4CgYCrd9Izz1SlTckR\nYPLk9mGdmiIc9ruSQUND85CdX4ihJglC5F0sRkabwLZtZa59vGaht9apPkpvbC4ry9zxggu6kyOp\nIZW4snsnPfKITY6fAJgwIcaYMZVD9jTv1Z5RWRl17VdZGZVGalG0JEGIAampibJyZZgbb0xVC9XU\nuG+AuXjyST+rV4eZO9c51+rVYUaNsq5kEAxaNm8uy6g+Ov/8jozJ+T7+8c7kTT/Ba8nkri73+InT\nThvccid9dckFPJNBbW1XnxP9Jc6fy2SDQgwVSRBiQKJRWLeuPHmzXreunA0bOnM6Nvvp+rbbnCqh\nRJvEkiWV/OAHrdTUxJLVQjU1MWpqolx3Xadr/MTrr6d+jSMRp71i+fJUYqmqcj+le/V2CoUiA36a\nz6VLLvQ862tfn5N5fiujokVe5LSiXBGSFeUKpL9LdvYm8cTd1hbgootSVUB1dTG2bm3hmWcCvPii\nMzZi0qQop57azX//dyg54G379gAPPNDKE08EM0oara3w+uv+5D5btuxPDkpLX/Kyp/j723A93CvK\n5XPFuuFWyr/7UPrx93dFOSlBiAHr6Wk4e5xCTxLHtLX5XdVJYFm6tCrjpvjww82uAW/d3e6qoh/+\nsJWLL3b2SS8F1NZ2EQqVk/j/XVERS07JUVGRmtGvFG+8QgyHvCUIrfW9wMeBt4wxJ8e3LQZmAW/H\nd7vZGPPLfMUkBq+jw5/xuqeur15P5YltFRUwdmw0WZ00dmwUv9/9kGMtrmTQ0OC+mR9xRDeNjU2e\nn5eow9+/P8hzz2WWPI4+Osro0UPTIC2zsoqRIJ8liO8BdwH3pW2zwCpjzKo8xiGGSHYyeO97I55d\nX99+W/XanfSHP2xh8eLUXEmLF1fxwAOtrlKFV22oz+fd8Jstuw5/7NiYK9lMndrF6NED+y5yWVFu\nMBLnd6rIpP1B5EfeEoQx5gmt9bEeb8mypUWgv/XuXuMgfvKTFtd+3d2qz+6kjz4aZP9+Hxs2VABO\ndZK1sH59ebLhev3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NvHRpR3J5zjVrwvh87tXdTj21m+ZmlWxLaG5WdHbCrl3+jG6n550X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\nZs7sZtkyZ9ruefM68MXLfZIYhBDDSaq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K3XAYy5AvxXpuCp30ivU8FYKXEogN/LdSartS6iJn21it9V7n573AWHdCE8VopN8dJhO5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\nGSHexfHH93DggBUd7LdhQzs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cffXEvI2LTuS0KLLrN9jsn1r9BF7Pn0bruW5Q//Wr1ZbEG4A/aa2/Brwd+CWw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\n6ibABgTHSWZyNAGsWNHMI4/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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Caucasian\n", + "pos:christmas (4.1) fun (3.6) dog (3.2) country (3.1) st (3) could (2.9) luck (2.9) guy (2.8) florida (2.8) john (2.6)\n", + "neg:lol (-5.9) la (-5.7) black (-5.3) u (-4.3) bout (-4.2) san (-3.9) lil (-3.9) ain't (-3.8) lakers (-3.6) kobe (-3.2)\n", + "Top Coefficients for Hispanic\n", + "pos:la (4.7) los (4) san (3.5) el (3.2) angeles (2.7) california (2.1) ca (1.8) lol (1.8) l.a (1.7) lakers (1.7)\n", + "neg:st (-1.3) florida (-1.3) national (-1.2) snow (-1.1) ohio (-1.1) perfect (-1.1) luck (-1.1) twitter (-1) atlanta (-1) ncaa (-1)\n", + "Top Coefficients for African American\n", + "pos:black (5.4) lol (4.2) bout (3.8) ain't (3.8) brown (3.5) lil (3.3) african (3.2) blessed (3.1) smh (3) atlanta (3)\n", + "neg:guys (-3.2) fun (-3) guy (-3) amazing (-2.8) christmas (-2.4) lt;9 (-2.3) country (-2.3) haha (-2.2) holy (-2.1) band (-2)\n", + "Top Coefficients for Asian\n", + "pos:chinese (1.8) la (1.8) sf (1.7) san (1.6) china (1.5) korea (1.5) india (1.4) bay (1.3) vs (1.3) hi (1.2)\n", + "neg:st (-1.3) dog (-1.2) page (-1) drive (-0.98) could (-0.94) anyone (-0.91) florida (-0.87) john (-0.87) little (-0.86) house (-0.81)\n", + "average correlation= 0.786447070329\n" + ] + } + ], + "source": [ + "# Results using text alone:\n", + "def get_model_text():\n", + " return MultiTaskElasticNet(alpha=1e-2, l1_ratio=0.5)\n", + "correlations_text, category_results_text = do_cv(X_text, outputs, text_feats, brand_ids, model_f=get_model_text)" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicting ['Male', 'Female'] for 1066 brands\n", + "fitting on 852 training and 214 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n" + ] + }, + { + "data": { + "image/png": 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3pvO731mZNMnLzp1Wdu4Uv19+uZ+MjOSBAXfe6WPz5hQKC+spLKzn17+2cMEF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\nf3sc8C052ZtzzkfO1dQ5ImR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lhWnTvCxalMbkycJk9u67JnbutFJc7OGKKwJG06uJE31Y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\naWmJ9BozGSzOlJnuwpmBpAafYcSnEF91VeIi9uGH3emtOTm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+5n5axcVecnICVFS42bbNyrZtVioq3J1SAj3luuxLyNTgXkZfTy+U8gtSfYtN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\nozQ0WKvU29ps7N3rZPr0YgIBB7fdVszy5R6WLvUyY0YxPl/PbrDezl0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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Male\n", + "pos:film (5.3) guy (5.2) gay (4.9) man (4.5) fuck (4.5) game (4.2) team (4) internet (3.9) review (3.9) guys (3.8)\n", + "neg:hair (-6.4) her (-6) omg (-5.5) family (-5.5) girl (-5.2) she (-5.1) girls (-5.1) cute (-4.6) beautiful (-4.5) thinking (-4.3)\n", + "Top Coefficients for Female\n", + "pos:hair (6.4) her (6) omg (5.5) family (5.5) girl (5.2) she (5.1) girls (5.1) cute (4.6) beautiful (4.5) thinking (4.3)\n", + "neg:film (-5.3) guy (-5.2) gay (-4.9) man (-4.5) fuck (-4.5) game (-4.2) team (-4) internet (-3.9) review (-3.9) guys (-3.8)\n", + "predicting ['18-24', '25-34', '35-44', '45-54', '55-64', '65+'] for 1072 brands\n", + "fitting on 857 training and 215 testing instances\n", + "fitting on 857 training and 215 testing instances\n", + "fitting on 858 training and 214 testing instances\n", + "fitting on 858 training and 214 testing instances\n", + "fitting on 858 training and 214 testing instances\n" + ] + }, + { + "data": { + "image/png": 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mEirjkXTJJf6So/lGzLY2x+fd1NZWeW6xSr1pahlJXUuKeak1q8eUUB7TNVL/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\nrO0gO2V2oXiHF15oYedObzLfubODu+9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09NGjAdavzwiZ9esDXHVVhJdeUvv+W8nvrB13e3uYN94I2CKbEwkrk6oqDsLr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\n5eKLY7zrXXFuvNFeAtTjMW1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OuvnP/3Tz/PNWzMRVV0WZMyfBjTfmvt++fQO4XCY//rHd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\nN7/x2irKLVwYIx5P2CrHxePWePKZPt3FQw8N84U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QcxwHjh2Le+aeY8fi3mCdyRDoy+AOqE1NBMxPTb60jMHBODt25Pbv2DHA4KCd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\n+SKSByFUgrIUhDHmPq31fwD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wNzho95t2zVr5z5NIKGuM36J+5EiLT2XYlEdBRKMOK1ce5/nnWzNjjlsd7Nxx\nKVavHvWY0aJR+3QwMNCSqxG1Zcv0TThBW76WQ5RNbREFITQt8XiCdevGyhaLC4XcrOjCDGm/hbit\nzeH++0e47TZ3vvvvH7FOGqOjii1b2nI79S1b2rj/fnuBjUQcbrnleC5y6pZbjlvO4PZ2u2yHXxRT\nkPBbx4FDh7xNfs45x5aruzvBOeeEc5ngCxfaiX6FrVfBrWq7e7dd0rzSxToeTxCLtZXsdheU4rIj\nwswhCkJoWoKU5wa3fPWKFeXLV8+alaK9PZxbfNrbHWbN8i6yjgODgyH273f/dQYHQ/j13Jo7d4zT\nTgvlHMU9PSnmzvW+ZzSaYuHCZG6xPumklO9u/tRTk1b9pFNP9R6Bxsftct8XXmgrQYDjx/MVZLdt\nm95qXesQ6f7+CDfeOMtjBuzrS8opYoaQMFehLtQyTDFoZnB/fwt3351Pbrv77ij9/d49VEeHYyWa\n+TXmee21Do4dcxfiNWuiHDsW4rXXvO85Ohqmvz/Eiy+GefFF9/HoqJ21NjAQZvNm99SyevUomze3\nMTDgHVfs3yh1LUj4cCyWskJ0YzF/JzU0Xoi0UD3kBCFUnXJhp9UKUwyH4QtfOEYqFcr8bEcKVUIo\nZJt8QiG73HdxolmxIxtgZMQe9+ST3nFKwdBQKGcWuvNO/yimjo4Ur7zSws03u/e1p8cuj5FIhFm1\naozPftaVfdWqMRIJ+2YUZ2D7XRsaCltmtIceSjJrli0b1LYSsPggaosoCKGqlFv8p5J9C/6LTyIR\nZng47HEYJxL2bn7+/DG2bg2zd6/rwL300okSrSptp3FxV7ag5THSaVi4MMnq1e5cO3dGLId3ULNQ\nkPLbY2OKz38+L/vnP9/GO95hz9XZmbIUSWen9wMEUUhZ6pGT0KiZ/yciYmISAtPfH+HQodJOwUqy\nn4NQrs7P8LDi1lvzpqNbb+1keNjegg8MRDh8OJTLpD582L/AnlION900njMf3XTTuFXwLhq1M6T9\nooU6Ox2WLx/nnnui3HNPlOXLx61opyDOZ3AT14ozqUdGvLv+SMQ9/WRlX7Zs3Ddrurs7wWmn5bO3\nTzstZTmpg9bnqvbvuxLErFUb5AQhBCJIy84ghMOwefNwLhzzoosmfM1CQU4aQfo+gxuyWZxJfd55\nSWthbGnBqrP0rW/Zi1B7e74fRHu7f92O48fzygvg1lttU1R3t+18Lq7SCu6uv9j0VbzrD4fdntYP\nP+wmvY3GK0rzAAAgAElEQVSOUvK+3nRTV5GT115s67VLb8TGVW9mREEIwOT/mNVMiBoaCvPaa/lw\nzDPPTDM0FGb27MplztY7KjQxTTVMFNwQ1nLXJiYUN93k7afw9a/bPohUys7RKDZFjYyErd7PX/6y\nbevv7k5w4YVhvvIVV3m0taUt5dbZmSIUauETn8grm2IlUm2q7Q+QEhqNh5iYhKqWbC5XojuVyldD\nPXw4xGc/20EqZS/MiUTY6m9Q7HQdG8vXO7rmmgTr13cwNmbP5Th2rwTHJzY1FLLHFTupg7YJjUYd\nenvz0U69vWOWKer4cWX1fj5+3K8nNbzySgsf+ECMD3wgxiuv2Pu6/v4WK1KrOAILgpuPgv5NVNLT\neTITZT3NVUJpSp4gtNb/heLO6D4YY/6hqhIJNSXI6SAeT7Bly0jZhDSAn/ykI1ei4Y034G1v8zqD\ni8s6lLrmVzqi2IHrZ0Lxu5ZO23Odf77twC1s8gP4NvlpaXHYuHHEUzjPL1lrYkJZ2c/FJ42g5b5/\n+Uu7c94TT6Q488x8EaigiguqV8IkS5BTQ7VMlEJtmczE9AheBXEakAaOAm/BPX28Cpw5Y9IJDUF/\nf4Te3rwppLe3gyeesBPSBgcjvP56vkTDffeNMDgY8fQaiEZTrFs3yk9/6q7kv/d7/slhHR0ON988\n7lmIi/MNWlrsKqd+i/VJJzlWC82TTvJTVO6i/da3uvK0tztWpdZUyj2RZG39Q0PBI5uKr3V2pjjn\nnAkefjiVef+0r1nILxGv+Fo0aisuP+d5llr7FYJsQiR8tfEoaWIyxiwyxpxhjDkD+CLwIDDHGDMP\nmANsAbbXRkxhpghichgbC1umEL94etcZnDf53HNPBwMD3j1Id3eCOXOcXETRnDmOb0/nZBLuuCNv\nMrnjjk6rflIioawxiYRtovntb5Vlfvntb/0rvH7ucx0kEm6Tns99rsOq+trWBqGQ4hOf6OITn+gi\nFFK+jXlaW21zVfFJ6fjxMAMD4dxcAwNhjh+372s87lid8+Jx2/Q1Pk6uo9z4eOkTBEyeqDg+bpv3\nisuezwSVmKuE2hDUSX0rMM8YkwAwxoxqrVcBB4HPzpRwQm0oZ3Lo6kpZu9OuLnunGw7biWbFzXT6\n+yPcckveXHLLLf7lMYI6loMU6wsa7eQ4Dh/5SCJXP+kjH0lYvorjxxUPPZRPInvooTY2bbLvxaxZ\nqVw4KcBpp6Wssh1DQ3YynTHHOOUU71xjY7BvX4hdu9yyGM8808LZZ8OcOfkxbp5Ccdb31HIXChsn\nuWPauOSSqe/mKzkdyKmhsQiqIEaAC4C9BdfembkunABM9o+ZSsHWrflFcevWNrZvH7fGhUJYiV/P\nPGOfRorxu6YUbN067EluK1YQLS0O69aN8txz7ph160Z9TUxz5iR58MFh/vmf3XF/9EcTzJljh5Om\n097+BqtW2eW329tt05ef32BkJMxnPpNvBvSZz0T58pdTngiloD6Urq4UF12U4umn3R3/JZdMWAq6\nu9sthLd8eb4Cq9/JLIi5Z/78Mdata/H4nPwTC4NTrWquQm0JqiBWA9/WWj8D/AZYAFwDfHKmBBMa\nh1AIrr9+Ilci2i+TF6C93d6xFl/r7ExZjlk/u3sq5e7Ws4v1+ecnLRu+48DBg94KposW2XMplXVU\nu+MuuijpexpxHLvf9Ne+5nVmj43lzVrgmsGKS2iAN0IJ3HDY4gilOXOS1snMT3EdOxbmN7/xfs7T\nTw97lE3QwoVBufTSIXbvdmWZrnLIUq1qrkLtCBTmaozZCVwI/AyIAT8FLjTG7JhB2YQGIUivZnAV\nyZo1oznb9Zo1o5Yi6e5OcPbZyZyt/Oyz7YQ1cBfYrPnl8OEQt9/eaS2wiUS+VMXhwyE2bOjw9UH0\n97dY/Zr9QkCDEMRhDMF8EAMDLdx7b95nc++9ts8GXN9I8ef064gXhKBhruAqhmopB6E5CfxfYox5\nUWt9L3CqMeZgpW+ktX4UeD/wmjHm7Zlra4GlwOuZYXcZY75T6dzCzBIK4VPEzh6nFMTj+Zad8bhd\nfO7YsQjDw/ly0w88MMKxYxFmzfIuUkHML0FNNEEXdaXssFO/UhsPPTTMP/2Ta6665JIJ32ih1laY\nNy/vg5g3L2VFRAXp7gYwe7Z9qii+Fo8n+Pznh/nhD903ufzy0mGpUstICEogBaG1ngP8D+DPgSQQ\n1VpfC1xgjFkd8L0eAx4CCk8dDrDJGLMpuMhCrRkdDVu+hUsvTVhN7IeHw6xdm7e7r10bZceOlCdL\n+uhRuzvak0+mLAURjTrcd98It9/uml/uu88O23QchzVrRnNO5XPPTfkmwLW0OFaBOj9fRShkd54r\nVoQTE97GPGeemWbBAn/TWmtrKBcy29rqWOa2efPG2LzZPd0AbN7s36ciSB7KwECEgwfzlWHPPjvF\nwEDE93SWnVMQyhE0k/pvgGPAQiDrnXwOuD7oGxljngXe8HlqamdloWYE3YFnTxqFBeOKF9igu/6W\nllQuWmj16lEeeqiNlpZU0Zi8U3nXrjaSSWUltmU55ZR8gbpTTvGP7sl2njv77BRnn53i8ccjlvyJ\nhJ0J7mfWSqXgpptifPzjXXz8413cdFPM8qH090dYuzZvYlq7tsM39LQwD+WaaxL09trjRkfDuXpT\nhw+HuOeeqG9vCUGohKAmpv8CzDXGTGitATDGvK61PmXylwXiU1rrG4B9wG3GmIEqzClUkfnzx3jg\nAW9HNj/bdFtbyjppXHWVd1wkYptx/KqOxuMJVq0amzQ0Mp22ncpf/7qdIe04ihUr8gXqenrafOsn\nRSJwyy3jnpajkaL12k8B+V0bGwtbIbjF0VqDgy2WiWlwsMV3d188zv6Mtgx+1wShEoIqiAHgZNy8\nBwC01qcX/jxFHgbWZx7/d+B+4MbCAVrrJcCS7M/GGGKx2DTftn5EIpGmk//nP09bReX+9m/TnHOO\nd3s9PGyvSO7nzWeS/frXaSvG/qKLktY9Safd5j/ZqqnhMHR2dhIq2NInk/ZJIJnEZy57XDptj3vl\nlRS33ZY3f912WydPPXXMMy4aTbJ584jHLBSNOtZc8XiSNWvGPIUE43Hve7a02BFdLS22XKOjdh5K\ne3uL5762ttpztbaqhvtba8a//yzNLHuWjN83yx5jzJ7JxgdVENuBJ7XWq4GQ1vpi3AS5bVMRMosx\n5rXsY631duAZnzF7gD0Fl3qHmjhOLhaL0Wzyp9N2e850Os3QkDeevavLrbNTuOvv6hrxhDV2d0es\nhbO7e4KhIe+u+ciRDn7969acfyGZhF/+coJTT82/ZyzWYZXLjsUcn/vbYS2eYI9LJqPW50wm8Ywb\nGekgFErzpS+5144dg5ERrLn6+zusct+7dw/S0ZEf190dYcGCUM7nsWBBiu7uJENDo5653nijIxft\nBHDvvR3s2DFENJqfK5XqsPwnqZTfvag+lZTobsa//yzNLDu48htj1lbymqA+iA3AV4GtQCuuw/kb\nwOZK3qwYrfXcgh//DPjf05lPmBk6O1PcfXe+Mundd/vnLoBbrTVr6/er0ppMYlVgLS6hAW72sFuw\nz/UvjI8rxoqsWseOqdzJ5pp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t+BaPJ9i4cYQLLkhywQVJNm60E+8KC/plw1cHB23rZNDP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\n5sPAr4FrjDEx3Po7AJcDv4vbqc7vdOEATqZT12e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va5bxW8F3uoS1ThemdCehtX7asqzzxx2+Frgy9/x+YD+iKIQqEYvZ3Hjj8JiV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\nEonImDyCvj7o7vYen0yGXd3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J/8B7yp8PZCegfw9YVuHyjDPJw9Ry+HB7bu/kw4fbA885erTFt69ztlWRla38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\npSAhIiJlKUiIiEhZ/x/2MTySBrJQ9gAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for 18-24\n", + "pos:d (2.7) haha (2.3) album (1.9) x (1.7) xd (1.6) _: (1.5) actually (1.5) stream (1.5) wanna (1.5) im (1.5)\n", + "neg:family (-1.8) wow (-1.5) miss (-1.4) vote (-1.3) great (-1.3) fans (-1.2) tv (-1.2) kids (-1.2) son (-1.1) star (-1.1)\n", + "Top Coefficients for 25-34\n", + "pos:super (3.3) dc (2.7) baby (2.4) definitely (2.3) nba (2.2) pregnancy (2.1) wedding (2) even (2) entire (1.9) nyc (1.9)\n", + "neg:american (-2.5) county (-2.3) vote (-2.3) MENTION_youtube (-2.2) golf (-2.1) red (-1.7) july (-1.7) tour (-1.7) dog (-1.7) am (-1.6)\n", + "Top Coefficients for 35-44\n", + "pos:star (1.4) fans (1.2) kids (1.2) tv (1.1) bike (1) mind (0.96) store (0.96) awesome (0.95) screen (0.93) son (0.92)\n", + "neg:haha (-1.8) d (-1.7) MENTION_youtube (-1.7) album (-1.4) wanna (-1.4) national (-1.2) nintendo (-1.2) golf (-1.2) xd (-1.1) games (-1.1)\n", + "Top Coefficients for 45-54\n", + "pos:wow (1.4) vote (1.4) american (1.2) comes (1.2) ca (1.1) santa (1) county (1) boys (1) nice (0.97) high (0.95)\n", + "neg:super (-1.6) damn (-1.2) nba (-1.2) pregnancy (-1.1) fuck (-1.1) definitely (-1.1) actually (-1) dope (-1) review (-1) women (-0.97)\n", + "Top Coefficients for 55-64\n", + "pos:vote (1.6) golf (1.4) red (1.1) american (0.94) country (0.93) north (0.93) county (0.92) holiday (0.91) smile (0.9) 99,999 (0.9)\n", + "neg:awesome (-1.3) i've (-1.1) super (-1.1) dc (-1) damn (-0.93) nba (-0.92) yeah (-0.89) training (-0.87) actually (-0.83) world (-0.82)\n", + "Top Coefficients for 65+\n", + "pos:vote (1.3) golf (1.2) MENTION_foxnews (0.92) holiday (0.72) may (0.67) american (0.66) he (0.64) family (0.63) north (0.63) national (0.63)\n", + "neg:awesome (-1) yeah (-0.86) lol (-0.77) trying (-0.66) station (-0.62) y'all (-0.59) houston (-0.57) these (-0.57) training (-0.57) rock (-0.56)\n", + "predicting ['$0-50k', '$50-100k', '$100-150k', '$150k+'] for 1043 brands\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 835 training and 208 testing instances\n", + "fitting on 835 training and 208 testing instances\n" + ] + }, + { + "data": { + "image/png": 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4HMCeyGsOh9MFpLsIXnflBmRnh7F0aSuWLm1Fdrax9Eay4aeJ8jO0n/e1yqwdoadMTDcA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\nqmIrK6NlLlRF14rRowNwu2W43TLGjjVWkG1tJUq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nvcXnBgf9DuQHHjjKCSfY58fH4dVXi5vxV1+NMX++O3yotdVfSsNtvlF88YvF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\nPor8CWBlLYQSGp98Ke68ySO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x0+ElXzVShdrA7+rv8stT7NmTIRgM0NY2Niu0rq4GHn00VJQj6Pzz3VfYfgLl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\nmE4rdu4srvz2trc5T+STJqVZtqy/yF4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5c+LU1cHKlYP88IdOeKxcOUhDg/UEzdXUuOR/uSqrhgbLtm19GSqvPubOdQKn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\niQRs3Dishtq4sZ7HHot67Bc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TSPj3HQ9jtCAIUxMRElWGn2fReBmjBUGYeoi6qUIZqejQ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\nQRCEvIiQEARBEPIiQkIQBEHIy/8PaRdOidswQOUAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for $0-50k\n", + "pos:lol (3.7) games (3.4) MENTION_youtube (3.1) damn (3.1) black (2.8) ps9 (2.7) side (2.7) d (2.7) community (2.6) god (2.5)\n", + "neg:dc (-3.1) santa (-2.8) looks (-2.5) nice (-2.5) luck (-2.4) iphone (-2.4) boys (-2.4) nyc (-2.3) congrats (-2.3) MENTION_wsj (-2.2)\n", + "Top Coefficients for $50-100k\n", + "pos:great (1.1) seattle (1.1) he (1.1) performance (0.9) lose (0.89) usa (0.89) kansas (0.88) iphone (0.85) wow (0.84) cold (0.84)\n", + "neg:games (-1.5) damn (-1.3) ps9 (-1.2) black (-1.2) past (-1.2) they're (-1.2) video (-1.1) d (-1.1) MENTION_youtube (-1.1) music (-1)\n", + "Top Coefficients for $100-150k\n", + "pos:santa (1.1) flight (1.1) nice (1.1) looks (1) practice (0.95) congrats (0.94) bike (0.93) dc (0.89) retweet (0.86) ride (0.86)\n", + "neg:lol (-1.3) indiana (-1.2) being (-1.2) games (-1.1) community (-1.1) side (-1.1) MENTION_youtube (-1.1) art (-1) damn (-1) episode (-0.96)\n", + "Top Coefficients for $150k+\n", + "pos:dc (2.2) nyc (2.1) market (1.8) MENTION_wsj (1.8) congrats (1.7) beach (1.3) san (1.2) york (1.2) ca (1.1) looks (1.1)\n", + "neg:lol (-1.5) share (-1.3) d (-1.1) free (-1.1) county (-1.1) information (-1.1) card (-1.1) science (-1.1) side (-1) MENTION_youtube (-1)\n", + "predicting ['Democrat', 'Republican'] for 957 brands\n", + "fitting on 765 training and 192 testing instances\n", + "fitting on 765 training and 192 testing instances\n", + "fitting on 766 training and 191 testing instances\n", + "fitting on 766 training and 191 testing instances\n", + "fitting on 766 training and 191 testing instances\n" + ] + }, + { + "data": { + "image/png": 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GPgh8QSl1tv1FrbWJpUQEoaCU0z/vaM0oxWS4Sbe5uZ/W1kgq96K1NVIShTeaJMFy+XuU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\nrJLkXwP8QGt9Itb35xUqRH6t9R8S9/1k4B+BXuA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WARcBLwBLgKuBxcB5lRmaMFvJ5265YsUoe/daF9JCcQOjo0Fuv70ldf/tt7dw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\n9/DDg2zaFMkKiGtpcUgk8NR++P3fz00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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Democrat\n", + "pos:women (3) u (2.8) ain't (2.6) nyc (2.6) equality (2.5) la (2.3) voice (2.2) seattle (2.2) dc (2.2) MENTION_nytimes (2.2)\n", + "neg:HASHTAG_tcot (-3.4) MENTION_foxnews (-3.3) country (-3) guy (-2.9) golf (-2.4) christmas (-2.4) luck (-2.1) isis (-2.1) HASHTAG_pjnet (-1.8) government (-1.8)\n", + "Top Coefficients for Republican\n", + "pos:MENTION_foxnews (3.9) christmas (3.3) HASHTAG_tcot (3.1) football (2.8) county (1.9) morning (1.9) family (1.9) christians (1.8) country (1.8) obama's (1.7)\n", + "neg:boston (-3.2) equality (-2.3) seattle (-2.1) fuck (-2.1) shit (-2.1) portland (-1.9) MENTION_nytimes (-1.8) women (-1.7) street (-1.7) black (-1.7)\n", + "predicting ['No College', 'College', 'Grad School'] for 1046 brands\n", + "fitting on 836 training and 210 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n" + ] + }, + { + "data": { + "image/png": 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IqmISBOEKACmfhiiKr2R0RBzOAEYfWX3VVUG0tdkwa5ZbWf3OmuWGKErMsaam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\nrtWgNZFuowLRgtnO12fpPdLqh1x//2FWrjzW1mvUnttKT5c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113od3Haeg32dlSvHPY53+9ruOk1gma7s8h9RUVmTC0Ou3CAuDu7KUA8TU/Fa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\nz5sUOD5eCNsdL7IQuXNGrHNznH56Iaz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k6hq89loDvb1+kklYt66JLVuCbNkSZN26JpJJiERURsXU3e3h1ltDDA0pV5qM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\nQgAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for No College\n", + "pos:lol (4.3) games (3.1) put (3) MENTION_youtube (3) county (3) made (2.8) ps9 (2.5) xbox (2.4) videos (2.3) found (2.2)\n", + "neg:la (-3) our (-3) market (-2.8) running (-2.6) MENTION_nytimes (-2.6) probably (-2.5) seattle (-2.4) run (-2.1) bag (-2.1) congrats (-2.1)\n", + "Top Coefficients for College\n", + "pos:our (2) you're (1.7) seattle (1.7) photo (1.6) MENTION_mashable (1.5) la (1.5) apple (1.5) fashion (1.5) probably (1.4) san (1.4)\n", + "neg:am (-1.6) games (-1.6) its (-1.6) xbox (-1.5) u (-1.5) chicago (-1.5) county (-1.5) videos (-1.5) im (-1.5) ur (-1.4)\n", + "Top Coefficients for Grad School\n", + "pos:dc (2.6) MENTION_nytimes (2.4) market (2.2) which (2.1) review (2) excellent (1.9) boston (1.9) also (1.9) congrats (1.9) MENTION_washingtonpost (1.8)\n", + "neg:lol (-3.1) MENTION_youtube (-2.6) made (-2.2) put (-2.1) july (-1.7) video (-1.6) road (-1.5) released (-1.5) county (-1.5) games (-1.5)\n", + "predicting ['No Kids', 'Has Kids'] for 1052 brands\n", + "fitting on 841 training and 211 testing instances\n", + "fitting on 841 training and 211 testing instances\n", + "fitting on 842 training and 210 testing instances\n", + "fitting on 842 training and 210 testing instances\n", + "fitting on 842 training and 210 testing instances\n" + ] + }, + { + "data": { + "image/png": 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pHsOGddHc3ALEB/fEPrduLXbuu26dTThsOdfXrdvnOU58V7ke/NNBwlwHkHwPJYTCkBFE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\nzISX+Bz33NNOJIKznWgo5OOmm/o2ORk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R2Oj9ivp8RnFFzWGhkN/z/pNPFnPbbUFPxNRJJ7XxxBMBnngiwGGHdXD11SFn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\nWh6tvjPxcNgAAAAASUVORK5CYII=\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for No Kids\n", + "pos:care (2.9) street (2.6) gay (2.4) years (2.3) health (2.3) drink (2.2) dc (2.2) white (2.2) ht… (2.1) album (2.1)\n", + "neg:kids (-5.7) school (-4.1) child (-3.3) family (-2.8) kid (-2.8) daughter (-2.7) children (-2.7) utah (-2.6) moms (-2.4) parents (-2.4)\n", + "Top Coefficients for Has Kids\n", + "pos:kids (5.7) school (4.1) child (3.3) family (2.8) kid (2.8) daughter (2.7) children (2.7) utah (2.6) moms (2.4) parents (2.4)\n", + "neg:care (-2.9) street (-2.6) gay (-2.4) years (-2.3) health (-2.3) drink (-2.2) dc (-2.2) white (-2.2) ht… (-2.1) album (-2.1)\n", + "predicting ['Caucasian', 'Hispanic', 'African American', 'Asian'] for 1035 brands\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n" + ] + }, + { + "data": { + "image/png": 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aNR7q6zuor+/A53OwbJkWSoZhJZm66uoCHD5ssHOnm3vuCdjl3//6V2eP/RKV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\nNpdP470JsnS0jf4EoIT4xhmqJpKuOes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BWutRwKPAzcBWY8yhae81GWNqPY6pB+oTr40xi1pbW4c/2GESDAbp6irNkbilHDtI/IUm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\ndZK1sH59ebLhev3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NvHRpR3J5zjVrwvh87tXdTj21m+ZmlWxLaG5WdHbCrl3+jG6n550X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\nZs7sZtkyZ9ruefM68MXLfZIYhBDDSaq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K3XAYy5AvxXpuCp30ivU8FYKXEogN/LdSartS6iJn21it9V7n573AWHdCE8VopN8dJhO5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\nGSHexfHH93DggBUd7LdhQzs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cffXEvI2LTuS0KLLrN9jsn1r9BF7Pn0bruW5Q//Wr1ZbEG4A/aa2/Brwd+CWw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\n6ibABgTHSWZyNAGsWNHMI4/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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Caucasian\n", + "pos:christmas (4.1) fun (3.6) dog (3.2) country (3.1) st (3) could (2.9) luck (2.9) guy (2.8) florida (2.8) john (2.6)\n", + "neg:lol (-5.9) la (-5.7) black (-5.3) u (-4.3) bout (-4.2) san (-3.9) lil (-3.9) ain't (-3.8) lakers (-3.6) kobe (-3.2)\n", + "Top Coefficients for Hispanic\n", + "pos:la (4.7) los (4) san (3.5) el (3.2) angeles (2.7) california (2.1) ca (1.8) lol (1.8) l.a (1.7) lakers (1.7)\n", + "neg:st (-1.3) florida (-1.3) national (-1.2) snow (-1.1) ohio (-1.1) perfect (-1.1) luck (-1.1) twitter (-1) atlanta (-1) ncaa (-1)\n", + "Top Coefficients for African American\n", + "pos:black (5.4) lol (4.2) bout (3.8) ain't (3.8) brown (3.5) lil (3.3) african (3.2) blessed (3.1) smh (3) atlanta (3)\n", + "neg:guys (-3.2) fun (-3) guy (-3) amazing (-2.8) christmas (-2.4) lt;9 (-2.3) country (-2.3) haha (-2.2) holy (-2.1) band (-2)\n", + "Top Coefficients for Asian\n", + "pos:chinese (1.8) la (1.8) sf (1.7) san (1.6) china (1.5) korea (1.5) india (1.4) bay (1.3) vs (1.3) hi (1.2)\n", + "neg:st (-1.3) dog (-1.2) page (-1) drive (-0.98) could (-0.94) anyone (-0.91) florida (-0.87) john (-0.87) little (-0.86) house (-0.81)\n", + "average correlation= 0.786447070326\n" + ] + } + ], + "source": [ + "# Results using text and followers:\n", + "def get_model_both():\n", + " return MultiTaskElasticNet(alpha=1e-2, l1_ratio=0.5)\n", + "correlations_both, category_results_both = do_cv(X_both2, outputs, all_feats, brand_ids, model_f=get_model_both)" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Save all results.\n", + "cPickle.dump((correlations_text, category_results_text, \n", + " correlations_fol, category_results_fol,\n", + " correlations_both, category_results_both,\n", + " correlations_both2, category_results_both2),\n", + " open('data/results.pkl', 'wb'))" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Try standardizing both matrix\n", + "X_both2 = scale(X_both)" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicting ['Male', 'Female'] for 98 brands\n", + "alpha chosen= 0.0630532626745 l1ratio chosen= 0.5\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Male\n", + "pos:MENTION_bleacherreport (0.74) MENTION_theonion (0.68) 18948541 (0.45) MENTION_gamezoneonline (0.39) MENTION_politicalwire (0.37) MENTION_simpsonsqotd (0.37) MENTION_techreview (0.34) 23504870 (0.28) 22027186 (0.28) MENTION_darpa (0.24)\n", + "neg:MENTION_peoplemag (-0.83) 20012204 (-0.47) 2148071 (-0.42) MENTION_bulletproofexec (-0.41) 18833982 (-0.39) 97739866 (-0.38) 21681809 (-0.35) 19675493 (-0.35) 2883841 (-0.34) 32959253 (-0.34)\n", + "Top Coefficients for Female\n", + "pos:MENTION_peoplemag (0.83) 20012204 (0.47) 2148071 (0.42) MENTION_bulletproofexec (0.41) 18833982 (0.39) 97739866 (0.38) 21681809 (0.35) 19675493 (0.35) 2883841 (0.34) 32959253 (0.34)\n", + "neg:MENTION_bleacherreport (-0.74) MENTION_theonion (-0.68) 18948541 (-0.45) MENTION_gamezoneonline (-0.39) MENTION_politicalwire (-0.37) MENTION_simpsonsqotd (-0.37) MENTION_techreview (-0.34) 23504870 (-0.28) 22027186 (-0.28) MENTION_darpa (-0.24)\n", + "average correlation= nan\n", + "CPU times: user 8min 4s, sys: 4.77 s, total: 8min 9s\n", + "Wall time: 8min 12s\n" + ] + }, + { + "data": { + "text/plain": [ + "([nan, nan],\n", + " {'Gender': {'model': MultiTaskElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001,\n", + " fit_intercept=True, l1_ratio=0.5, max_iter=1000, n_alphas=10,\n", + " n_jobs=1, normalize=False, random_state=None,\n", + " selection='cyclic', tol=0.0001, verbose=0),\n", + " 'preds': [],\n", + " 'truths': []}})" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "%time do_cv(X_both2[:100], outputs_g, all_feats, brand_ids[:100], n_folds=0, model_f=get_model_cv)" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicting ['Male', 'Female'] for 1066 brands\n", + "fitting on 852 training and 214 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n", + "fitting on 853 training and 213 testing instances\n" + ] + }, + { + "data": { + "image/png": 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YIDdX07sNy7G9fWNYuLmAvcCVLpfL4XK5FOA64A2EtTKj85gZwK+HSD6J5ITS\nU1puX1J2ewrox88xWbrUyQ03dOjuoWeftTJ5coj33lOYObOd+vojTJzoxe22UVLi1F1fJSVOfc1I\nBG6/PZ316x2sX+9g1qxRxL6nRt1dTmfiy+vpp0cM6b9VVQ49YSDZTJGPPzYluMrGjIlw//0OWlst\nndczug2rq700Nlqw2SAvr4MvfjGMqtpZtSqV8nI/48eHyM6O8JOfeHE4hCKRdSf9Y1gULaqq+g+X\ny1ULNCFSg18FfgakA6rL5ZpFZ2rwkAkpkZwg4icaxs4I6WnfQIhtux4/fTE618NkwtDpd80aLz6f\nmawsEcCOx+kM692A58wJUFnp4Nlnraxb59XdXA895CUtrUthiBhJO598YmLBgnRdhqg8S5f6+cc/\nzNx7r58lS8S21au9bNwouhA/95yVL3zBycSJXiZO9FJfL7RSbq6f7dsD+nVmzOiymBYudOqNH7Oy\nglgsTrZuTZF1J/1kWLi5Bhnp5hpCpPwDp6dWKL21Semrmyt2X0mJn5oaO1VVXs47r6Nf1y4sDHDF\nFSEee8zGN78Z0hXNtm1HSE9X2LvXjNWqsWRJl2tr/PgQixa188YbZi6/vIMLLwx3Dqty6koHugZb\njR4d4bHHPKiqndpaOz/4QWI7+micI9qqPlk9y4QJvl7vb+z/A+hf65jh8N0ZCCeLm0sikXTSU2ZX\nb1lf0Qp4t9vW43hf8dZ+hMJC0Zp9714LxcXpSYdXJbM6ong8CgsXOrnxxg7uu89BYWGA3/3uCK2t\nItZRWurEZlPIzOxKHW5tNfG3v1lYv97B4sVp1NamYLFoPP54G5WVwt0VDEJzs8LKlUIBWCwakycH\nsdkgNbX7F2C/X9Fl3rfPqtez7NtnpbVVKAiTSUyJ7ClzbiDtY05VpGUyzBjpbzdS/sHjWALwsRXw\nvVXRu902pk/PNGR1PfFEW0Km1Ne/7icz0zgkKzMzQnm5nz//2UJDg5VVq3zceOMosrMj7NhxNCFo\n/vDDXr2BY0WFj9deM+P3KzQ2Wpg7t53f/MbK8uV+pk8fRTAIy5a168H/9eu9XHBBCJstjMkkFMXf\n/mZl3z6h5GJnlkQtrJycCFOnGoP/9fVHaGkx6fJv2OAlJ2fgLsIow+m7cyzIRo8SyUlKd0okWcV4\ndF+0Ah56j6dkZQUT4iMOR5jLLutgxgyFQEBh3LgOXZEApKRE2Lq1jbY2E/PmdXXmDYVgwQI/U6YE\nkgbN09IMqqp3AAAgAElEQVSES8zh0MjI0Ni+Xbif1q718uyzFmbODHL77WmUlPg5eNCkFxcCLFjg\n1FOWN23ycM45ojV9XZ1Y44EHvDzxhHiI/8d/BMnN9SetiVEUY8FkUVG6PktFMnCkm0siGSE0NYkK\n7eeec/S7AWOU2HYh8Vld8+c7+dOfUqivt5Of38Htt3v1OAPAhx+KbKkXX7SyfHlXQWNFhYO//lW4\nlEIhhdxcP+vWGavnFy50sn69g48/FvNEotdctMjJ978fZNEiJ3v3WrjvPgfXXJNYXOjxKHqBZVOT\nlVWrUvU1li1z4vEoFBRkMHVqBk1NTrKygmzZcpQFC/wsWOBny5ajpKYmznuXDB5SmUgkg0hzs+O4\nVE5Hs7jy80N6m5D49NzeKuD7klL8xhtm6urs7N9vdFo0NTm54YYM5s93cvnlXdXlO3faKC4OEImg\npyAfPJiqt4EvKAiye7dZr2jv/XOKeEp8Nf2OHV2WRrK6wH37LIY06JYWB8GgSY+ZhEIKmZkD7zIg\n6R6pTCSnPIPV3K+xMZ2pU8XbcWNj+iBIlsjpp0cSHuSxbq+rr9aSBt2T1Z3Et6kvKfFTW2vXaz28\nXnPSc195xZJQF3LxxWG95uO114yK6H//18LDDwsl19hoMVgtq1d7efRRO2vXdm37whdCultsxox2\ncnLC+sjdxYvbWbcuxaBs1q/3cuiQoreCycyM8P775oTGkz0lJcgGjwNHxkwkpzTx6bOTJh1bQkpz\ns8PQfmT+fCf19SG9RmOgRLO4Pv3URGlp13Wqqhzk5wfJzBQPRI+n7+ms0ZG49fURgkGF2bPTDIV6\noVDyWGwgkLj9zTfN7Nxp48EHvTz2mJgxcvfdXbUkP/uZjXXrvPz5zxbWr7ezcaOHI0cUFEVj0aJ2\n1q5NYeNGD263iVdftfDrX9vIzw/h8SisW5dCff0RPv7YzOLFqXi9JsaMCfPMM0doazOxbJmDgwct\n/OhHfurqrNx1V0DvFBxLNCst/v4M1njjUx2pTCSnLMkKAF96yUNa2hAL1g0Wi8ZppyUqu44Ohdde\nc/D734vspylTUg2xDuh+jntsdlZFhY+//EU8hMeNC3PbbWlUVSlccEGHYdb6f/xHB1/5SkgPwJeU\n+LnvPgdut6imr6jwcffdXQrv7rvFtooKB/n5IQ4etPDHP1o555wIDz7YNb999WrRy+vXv7YZiiNr\natowmWDx4q5+YmVlqTz2mIebbko3KNZoq5X4jLCSEj9OZ2LM5HgVgZ6KSGUikQwCubl+qqstSSvH\nB4rbbcPvNzNr1iiczggPPuhl6dKu6u/ycgdFRUE9u+nznw/T0uIgJ8dviKcIF0+H/nvsgzQYhMOH\nzfoa99/v4+tf76CkxEltbZsepwF49VULTz9to6AgyIQJITZuNLYeGT06sR39m2+aKS4O8NFHCuvW\neTlwwMSDDzoMltzTTx8lJQWuu86PyST+jcp68GAq11/fYRi0lYxoP0a328QDD4guwl/7Wgdmc8SQ\nlSYZfGTMRHLKkqwAMNoJ91jIz2+jvv4I9fVHyM8fnHqD3btT2bLFye7dVjIzI7zzjphx/tOfeli5\n0seKFQ7y8jSWLOnKkCotTeWJJ1JobEzv83yOadOCesHgoUMm7r03VW+f4nSGWbPGQ1qaxhlnRPjG\nN4L6aNzly8UM9eg93LTJQ25umNLSrpjG4sXt1NbaqapycM45ESoqkmds7dlj4f/9v1EcOGAlMzOo\nFw42NTmZNm0UdXV2fvQj0UerutpLXp6P6mpj1pjdrunxFNGHK8KZZ4YTLLUog9H6XyKQlonklCb+\nbV1RBhY4HyxrBKKjcK26tbB6tbezmaEJp1PjzjtFeuzkyaGEcz0ehfnzRVPGzZtTKClxUlmpMGdO\n11jdMWMiPPSQl6YmCxddFGbnTlvCGlVVDq67zk8opPDss1bmzAlwxx1pBrdXerooVLRYNHJz/Rw9\naiMnJ8z993vZs8fCAw8IV1NhYVdvrJQUzbBGSYmf114zEwzCCy/YyM2NYLeH8fvNBjdUVZWDHTuO\nkpfnw+22UV7u0C2m8nIHTzzRht2u6dey2zXS0ozurfiCz/jvgOTYkMpEcspzPB8gx9LjKYrXa9az\npgCWLHGyY8dRMjJCRCJQW9vGvHlOGhsthmaI0Z5WthjdcP31HcyZk2aIDcyY0U5urkZdnZ3MTKFY\nokHz2DXa2iyUlDiZMqWDX/zCyty57VitMGeOn5ycCD6fiWnTxHmbNpnJyYlw111puFwBzj03wujR\nEUMMpLraS06On3HjFAoLhTx2u8Zvf2tl2bJ2tmyxkZcnOgnHKqAo6eldyjNqIYHI9nI4wuTlKXp1\nfF5eyODe6i7YLpXIwJHKRCI5Tgw0S8jhSAwY22wab71l0y2MTZs8fO5zQTIzgzQ0BDh0yMZdd6Vi\ns6F37M3OjnD99V0xlShjxkQMxX+rVjmoqvKSkiLe8m02YTHcdlsaxcUBRo8O8+UvhwzdehVFY82a\nrnhKaWkqixa1A+DzidG5c+e269cBER9paBCNF8eOFYrhvfcs3HBDB2vWpFBQENSVaG2tcG1VVTnI\nzBRpwO3tXb3Cogq1tdVETU0bmZlBJkwI6uvGN2+Uwfbjh1QmEskx0lvvrL48uHpaIysraLA41q3z\nsn27nW3bulqNzJmTRn39ETIzxfFjx9rYvr1VP7+2NoTHI4LR8W6l6Nt7lNZWEy+/bNUHSL3xhlnP\n0qqqMlFb20ZRUZrBUnrqqSMGq6OkxE9Li6K75IqLA+zf332jyNgGlmecoSUoPLfbRE2NnZ07j3Dg\ngIVbb03vvBcixfjgQYtBocavKzlxyAC8RNIH4ova+lJN3hvR4PqTT6byxhupCUVzsTGBsjKRWvvp\np4l/sk8+maLLoCiKIXA9dWoGN92Uzte/HmbjRjuFhQGefvoodrvGc89Ze6w0jydZT1hNUxIKGLOz\nNe6/X6QB/+tfJt2FlizIHXtfc3P9bN4shljFylVV5UXTYN68riSDhQud3HKLmNf+xz9a9QLLeGLX\nl8H244tUJpKTjsGuZo5VHLt3p/Lhhw5eeMFGMIihujqWnh5cbreNDz8UhXbPPmtl9GiNW24ZlVQx\nRWMCu3dbaG01sWOHjcWL2/V1ly4VVeslJU6amx20tGj6NWKr1tesSWHy5BB1dXY0DTZsSNEf9jNm\ntLNjx1HGjetg9OgIq1YJq8Ru19i82UNJiY/ly30sW+Zg9WqvofLcnOQZrihdcm/Y4OCRRxy8/rqZ\n6movzzxzRHf3JVPIV1+tsX17K1//ut9QqZ5MkVmtopakrs6u9+Tq7v9bdF9PbfklA0MqE8lJxWBY\nDLHE12Ls22flhhsyqKuzs2xZu97CIxnJHlxR+W64IYNAQOHrX+8wvNnHKqbYuRvRILvNBlu22Kiu\n9jJjRjsWC5x2mghwT52awTXXpNHU5MRkQh9tW1Lio7LSy7e+FWTbtiNkZHT11lJVO9nZGhkZISZM\n8LFtWxuBgEJdnXCnHTxo5je/sREKKbz7roUVKxysXOmjrq6NdevsvPyyRW+FMn58iMce83DZZSF+\n8pOueSGrVvnwehXKyx2kpIQT7mvs545aVrGpwRCt4+lSZOvWeWlpUfTuwslGE3c3tljOKjk+yJiJ\n5KTheAdYp00LGrKr1qwRRXGTJ3f/cOopAFxV5aCsLHn9Q2xlem1tmz53o74+xJNPpnDnnU69eG/l\nSh/Ll6caPvfzz7upqPBTXi7iFqWlXcWUl1ziZ9w4i55JFW0zv3t3KsGgyfAZq6qEm62y0kFRkWgD\n/5nPRCgpcXDppREyMqC62s5993lxOOC220RiQGmpnxkz2pkwIUxFhYinbNgwMEtA1PGIwHpurp/z\nzxdWj2R4IC0TiaQHYt1VsbPKo9x0U3uf3SXJJhaKcbV+gzvMZIKSElEjMmVKBy+8YNXPdTjC1NXZ\nDRXnl1ySWGfi9ZqZP99Jfn7IYPnMny/cYRMm+Jg1y8vtt3sZOzaku92S9bSK/awNDW7Gjw9SWNjB\nzp023nzTzMGDFnbtsuotVA4dMlFZKeI7P/yhk+9+N8j99/spKkrXLca+xC+SuStzc/16LU9urv+Y\nJ1JKBh+pTCQnDd09QAYaQ7FYNH2wU6yrpaamrV9Fik5n2KA4Kip8fOc7QfLzgzz/vNEdFnVDNTRY\nmTAhzFNP2dm9OzXpZ8zL8yVsS5ZWHCUYVPT7tX+/1eB2e+YZqyEmU1Lip7HRQk1Nm97bStMwpO4u\nX+7jy19OVGhpaRo2G0yYEOaHP3QmuJx6il/01V3Z22hiGR85cUg3l+SkIr6aeaC1Hs3NDmbN6hpB\nO358iPr6IzgcYoSs223r8xuvz2fm0kvFFEMR09D47ndHGWSL9uGqqbETDMKsWUE9NTg7W+Occ2x6\np19FgdTUsP5grq+PYDabyM726muWlDgNKcGrV3tZvDiVRYvMXHRRIMHtVlAQ1Hta/ed/Bhg1KsR1\n1/l57z0L116bBYg4TmZmRD/PbIZ33jHpdS2trSZKS/3s32+ioCDIq68aLbLMzAh+v7nbezcYadUD\nKRaVHBvSMpGcdEQDrD0FYftCU5OTJ59MMWwTrUzCHDhg5dpru39zjreGGhvTueGGDG6+eRRf+lKY\nadMChimHJSVOdu1KY8qULKZOzWDOnAA33xwwBJirqhz4fGaampwUFaXz6qtWHn3UyZYtTv72tzSe\nftrO44/b2L07FRCKtba2DYhQV9fGz3/expYtNnbtEhMW29oS3yWj1sTkyUHGjvURiQj33OLFXbNB\n5sxJY8MGYaEVF7cTCChs25bC/PlCcf32t0c4//wOVNXOzp02vvrVLmtq/PgQFRV+pk7NGFCSRE+W\ny2AnYUj6hlQmEkkSooqottZucPvU1LQRidCjkop/mLW0OAyKY948Jx0dxpkgse1OojGHCRMSXUea\nJq797W8H8fkUfZLgu++KVN66Ojv79llpbe2q3cjOhsLCdG69NZ3bbw9yzz0+MjMj2Gxagnvs9tu9\nulso+jmmTs2guDhgyFzLyemgocHN1KnGBpHLljmJRGDCBJ/uYpowwae7nGpr2wz34ljSqpubHd3e\n/4G+QEiOnWHj5nK5XJnAZuBiQANmAm8D/w3kAe8CLlVVW4dKRsnIorsZHv0htpX5TTe1k5vr7/Hh\nlMxFs2PH0YTjog/yqGzJ2p2MHx9m0yaP3jply5ajhMMKhYUBvvKVDsN1amrsrFvn5YMPgtTU2PmP\n/xADs5qbHSxc2DVbZPFiJytX+igv95OT4ycnh6RNDmMf2CBcYNFsrtj7mCypIFoTEn+vo9ZiX0jW\nfDHqskzWr0sy9Awny6Qa+J2qqhcCnwf2AvcADaqqjgOe7/xdIukzIpYg2sL3Z0xr7Ntx1O0TG2yv\nrW1j/PiQ3nbd1MNfUnp6iE2bPCxY4GfBAj+bNnnIyfHrsu3ceYQzzohQWekzBL4zMkJccYWH+voj\n/Pa3R/B4zHz3u6IVu9crKsuFrKLOZObMdHbutLF0aXuP8gSDsHChcXZ8/Kz4ePcedGVzxd5Hp9PY\nbr60NPkQqmT3tbcsq1i5YpW0KNL0J11DZnENHcPCMnG5XBnA1aqqzgBQVTUEHHG5XFOBazoP2wa8\niFQopxwDCaYaA/Am3X3Tl6B8T2/H0BWInjMnjdbWNH2t2H5a1dVesrKCmM1dreQnT+5aq6TEqfe2\nyswUMzlefdVsqP1oaLBzzTUdlJd31X8sWuRkyxYPs2alUVgYMNSGlJamUlgYYMoUhbFjQ2zZ4mHx\n4lRaW02sXevloYfi+1913d+DB1MpLk5PmFRYXe0lLS1MOE5PZGYGOftsm24tnH12uNchVMfa8j0z\nM6I3lKyrs+qJEPFryJbyQ4OiJetTcIJxuVwTgBrgDeAy4P+ABcAHqqqe1nmMArijv/eA9uGHHx5P\ncY8r6enptLUNzmCloWCw5R9INpbbbWPKlCz9IZudHaG+/ghTp2YYtjU0uPWHTrz8sQ/aZOutXOnj\nnntS9QLC+vojFBWlk58fwuHQSEvTuOGGILfdlqaPnG1stFBb28bUqRkUFATZudNmWDM6r6O11cZL\nL6XoDRnHjQtTVtZ1rSeeOMqBAxbOOCPCnXemGdaYPj3AeedF9Cyuhx7y4vfD5s12rroqzJQpAcaO\nDdHSYmXePCcZGREWLgzw97+b9UaSWVkRiooCfPazYTZuTOH66zt0N1f0/0OyexJ7P/tLT9+fxsZ0\nXUlv2uThggvENUwmMc9+qBXHSP/bPeusswCU3o7rjmFhmSDk+CIwV1XVV1wu13riLBBVVTWXy5Wg\n+Vwu1yRgUsxxpKcPbMDRUGKz2aT8nbS0RJLMaIecnO59OJFIhHfeET87kyTymM2J5wqZxdu61WrF\n40lDUTTeesvE7beLRTZv9nLBBclbp6xY4WfFCoe+frSH1ooVfg4cMLFvnzmhsy4oZGZGmDAhlDCU\nSlXtXHutmdGjQ4RCim7RlJb6KS5uZ+vWFEpL/bzxhhmTCT75RKGiwkd5ucjiWrbMzzvvGCvZ775b\nFEEePGjhkUd8fPCBmSlTRFry4sXtfOYzYRYscOJyBfRU4szMCFdcEeLPfxaPCY9H0YPaL72kkJOj\n4PEkvozG3s8omqZx6JD4OTtbNKRMRnffn5YWTQ/cZ2VFOHjQzJw5Wfr9rKmx89BDfq6+Wut27ePN\nSP/bBXC5XCtifn1RVdUX+3rucLFMsoG/qKp6bufv+cAy4Dxgsqqqh1wuVw7wgqqq43tZTlomQ8hg\nyt/c7EiwIurrj/RYKLhrVxp//KOo4r722qCeeQVdlk1P1s7f/57O7NlOCgtFsDn22s8/72b/fqt+\nbmmpn02b7Pps8zFjIlx+eQf//reJv/7VQnq6CFzPmNFuaBufnR3hN785yr59Zr1Ne1TRLF3qZ9Uq\nMUukpsZDcbHR4qip8fDCC1bGjQtz4YUhvv/9UeTlhSgt9XP4sLBgTj89zJ49Fh55xGE4t7AwwJVX\nhjj//BA33GC8r1u3trFwoZO5c9t5/30TDofG5z4XYeHCrtklK1Y4eOcdS4L1EWsxVFd7k44s7quF\n2d33J9YCmj27PcGai1p4A7GKBspI/9sdqGUyLALwqqoeAt53uVzjOjddB7wOPAPM6Nw2A/j1EIgn\nGSLiK8ZLSnoO7ra0ODh40Kyny+7fb2HMmEhCFXR3ldFut43Zs8Xbr8eT/G8qWg0/Y0Y7Z50VZsqU\nDmpq7Fx5ZQehkMINN2Qwb56Tyy8Pc+iQQjBI0rbx4bCYB7J3r4X77hMTBVeu9GGxGI9Jdp7Ho7Bh\nQwrNzaIosLTUz4EDFpYvT2X58lTee8/CN79pDESvWiVqRlascPD3vye2TGltVbj3Xj+rVqWybVsK\nY8dqVFR0pfwuWeLkhhs6kqbqRtvkFxQEKS93JG2lP9B03d7a2kiGnuHi5gK4C/iFy+WyAe8gUoPN\ngOpyuWbRmRo8dOJJTjSZmcGkDQm7IxhUEpoUXnFFB2ee2f831R07bPqEP0CvL5k1a5QenJ47V6Ts\nlpT4MZmgstKhV63PnCn2LVvWziOP2AxV6Bs2eMnI6KohcbtN1NXZ9bfroqIAeXkRdu82Jwy0euUV\nCzt32igt9WOziZiM3U7C596xo0Ovin/yyRSWLu2Ktbz2mnHdTZs8jBkTNlgr0SD+3r1dj4iLLgpT\nWBjAYjE+zONH5x4vooF1k0kkMUQtnaibS2ZuDS3DRpmoqvoP4PIku6470bJIhg+xo117e1DEzgbv\naVtPc8A3b/Yye7Zw2Ywb10FDg1/fF32bnjYtqFemg3h433+/N2FfVlaE5maFkpJ2srPDzJghxtlG\n24msX+9hwQKhdB580Kt3173xxgB795r56CMzdntEz5Sy2zVqasTkw02b7CxdKooU7fbEN/Vo2MDp\nDPPVr4rAeXZ2RJ/tPnp0xJANlcxSmDSpwxCviSYa1NXZef55MYfeZKLXWp7BqPeJXQtg4sSgnrFl\nMsF11/mlIhliuo2ZuFyuaxHFgz2iqur/DrZQA0TGTIaQoZa/N/99b9lHaWlpvPdeV81CLK2tNp57\nzsHBg6aEeIrLFeDccyP6vvjU2tJSP9XVdu64I2jYtn+/CZ9PobHRwvXXd5CXF6Gmxs7Che2ccUaE\nV16x4PEofO5zYR5/3Mall4o3/zPOiLB1a5fSWrHCT2WlUEZr1nj5+c9tFBcHaGy0YrdrfOMbAUDh\nD3+wEQgoTJkiZrDHEqtkly7143RqvPlmYibZ+PEhKit9hmLKvij8vqR4D/X3ZyCMZNnh+GZzbcGo\nTM4GIsCnwOmIeMv7iCC5RDLkxPrvAcrLHWzfHujXG6umaUmrukGkn9bVWbnttiA//amHZctE7UY0\n7VZVbaxc6ePyy0O88orFYL1UVorZJatWpRq2FRQE2bw5hezsCBddFOaee0RGViCg6A/r0lI/v/mN\nlQULAnpAfMMGL08/LZotRi2V++/3sm+fmUBAZGh98IFJtyzy8iLk5ETYtk0osmitSyxRN1JLi5UX\nXrDy4IPGAH60An7DBi9FRV1ZdrNmjdIVcm8z7SUnL90qE1VVz4n+7HK5ShEK5EeqqvpcLlcqsBJw\nH3cJJZJ+0Jv/PhBIjENEq8VbW2386U8m5s0Tb+fV1RaDZZOVFWTRooDB8jnttAjz5jlpbTWxbp2X\n5ctTef99Mz/5iTehPYrDkWjop6VpjB8fYt06H7t2mfnBDwJcckmYdeuMimj79qNMn97VvXjePCeP\nPurh9tuFwikr89PcrHDxxWGWLu3KwHI6I7zzjoV9+8ysXGkcoJWsE2+06jwz08HWrcYq+JtuamfW\nrORZWCbTwGqCJCOfvmZzLQKWqarqA+j8t7Rzu0QyLOitlcbu3am8+qqVmhq7nn1UUyMe+E1NTh59\n1Mm8eV1NCKODpKK43TZDk8L585387nc29u61cOiQiYoKkeabnx/ik09IyES79NIQP/mJcR7Kf/2X\nl4oKPwsXppKRAdu32ykvT2XOnADz5vmZPbudzMwIb7+daC01NZn1z7FqlYPLLhOKJDYDa+HC9mO6\nl8kGT0Uz6ZLd596aX0pOfvoagPcCXwYaY7Zd3rldIhk2dNdKo7XVxr59QpHE1nVEH4QlJaLGYubM\ndjweBb9fYc8eE6GQknTuRlaWCIxfdFFY76ZbXBzQM7ymTOmgrs5qaP9x5ZUdpKdHmDFDtG0PhxWO\nHLEwf74oKIzNyKqsFOnCO3faePBBLwcOmBIsqo8+UgxWmNOZrIBQ7DvvvAhLl/p58EFxfrTNS2/3\nsr5efLa2Nnj0UWfnZ7Mk3GepOCR9VSZlwO9dLtczwAfAGKAA+OHxEkxy6jDYg4ySreP1mvWH9X33\nmSgqCuByBfS2JcXFATZuTKG4OMDWrSlkZkYoL/czbZpxeFV0AFSsQvrRj8SDPVYZzJ/v1Ht0ZWZG\nKCvz64OwRGFiCnV1dn71q8SOwlGiFedLlzopK/OxcWOKrpxqauzcd59fd+U99JCXlSsdrF7tZckS\n8dBft86LpmnMnNnO228LuWbObCc3N2KIJ8W3jIn+HDuH/t57/Yb4yznnGBXsYGZsSUYmfa6Ad7lc\nFwE3AjlAC/ArVVXfOI6yHSsym2sI6a/8g+Vn700h9ZTFFd0X2ycrWZV1tO/W3LnthkB6dnaEX/3q\nKDfeOMqw7eGHvfzpTxY+//kQpaVOw77p0wNs325nx44j7NplS7CYSkr83HefQ68NmTGjnQkTwnoA\nfv16L1u22MjL05gwIcTGjSns3Wvh/PNDlJS0c9FFIRYvTuWTT0yUl/v1OEo0BdnrNSVU9MdOSty0\nyUNpaSp791q6vRfJOhEM9MVgJH//R7LscAIr4DsVx/3AfaqqrhymikQygmhudvDCCzaCQfrlZ49v\nH9/dZL3Y4wajNXkopNDaamL37kSDXtSAdK2/eHE799wjFENOTmIiwKWXhlm3zstzzwlFkp8f4l//\nMjFjRjs7dhwlJyesu6gqK31ceGGYxx6zUVbmo6zMx7p1dpYu9euTEQFmz27nm9/s4F//MmEywZEj\nJiZPDhniKEuXikr2ZHGO+fOd5OeH9GmK11/f0e296G7GfHw7e8mpQ5+UicvlOs3lcj0J+IH9ndum\nulyuVcdTOMnJS1OTk6lTM6irs7NsWbthil9v58Uqju5adSRTMN21UTGZRBV4Y6NFD5o3NlqorvYa\nAugLF6ayerXXcFx0n6J0rf/YYx62bLHh9ZrIy4uwa5eF5ct9+jyT5ct9XHJJBxUVDvx+heJiERtR\nVTvZ2RoWi8aKFamUlfkoLAxw992pvPqqhW9+M8SqVamsWpVKYWEHZjPU1dnZssVGebmfnTttbN9u\nZ/RojdtuS6Oiws/ppyfe15tuau+TBfjNbwaT3gvpwpIko68xk0eAfyMmHkYtkr8AaxHxFImkz8RP\nI1yzRkwynDy557faZFMM6+uPJBzn95sTjoumwUbXb252YDLB4cMKDQ12HA6Nhx/2kJcnqqlBvGXv\n2BHuzKTSuOUWjdpaGwsXtnP66V2BdLtd4+ab06mqEvNSRCV9BEUR6cDhMOzbZ9FjDg895CUlRaQx\njxkT0WMhqalaZz8v4WnYvVu0TnG7TWhaYsuUGTNETKWgIGKYplhVJepX5s93snPnEa64IqTXrNTU\ntOnuqfg4x7p1wgWWnR1h3TovF19sDLI3NAT0nyWSePrq5roWuEtV1ZboBlVVPwZGHxepJKccfX1b\njsfpDHebwtodjY3pTJ2awVNPiXnpdXV2tm5N4bXXrHi9Xa6apiYn06aNoqTEidttZuPGFIqKghw+\nrFBWlspVV4Ww2zXKykRsobg4nSNHbPzzn6l8/LGJjz4y8eGHCocPm1i8uMvVdPfdTgIBhZqaNpqb\nTZ2V6hbOPVcUFd544ygqKvzs2WPSLSBzkjrKQEAonWT1K9FtdnuYK67wJLXIoMua2rHjKOvXC3db\nQQ0c9IYAACAASURBVEGQigoHzc0OgwKWLixJT/TVMmkFzgD0yLbL5Rob+7tE0leSZf701FY+StQd\nFfuWnZkZNPRpij7susssam526LUiubkRQyC9qsrBaadFOOsskYEVPwO9oCDIkiVONm3ykJ8fYtcu\nC9u2peB2d72T+f1m/v1vM4sWCdfa2rVesrISldu+fWays0PcfLOPAwesLFqksXx5qiEbrL7+CE5n\nmOuuE4WVV10VMhRMZmaGqKuzk5amJU0bjh9n29P/D7/fzMGDFnbt6gqySyT9oa/KZDPwK5fLVQaY\nXC7XVUAlYjqiRNJv+jtaNTq+1uHQePzxNjIzI5x1VvcKqC/rHzxoNMyjM9WLitL15orJ+OQTEzt3\n2li+3EdpaVdPrC1bjuL1Kixa1OVyWrTISV3dUdau9eoKprLSx969ZrxehbPPDvPFL3oNxZFRHI6u\nEbjJW8W00tDgpr3dzC23pBvShh9/vM1wf3rLssrN9VNdbTEoq74oeIkkSl+VSRUi+L4RsAJbEXGU\n6uMkl+QUoK8uk5YWB++80zVDPSdHo6VF4corE2e696Xp4C9/eZQXX7SSlxcxTChctcrH3LliGFVt\nrd3Qgr5rmp+XcFjMNCkrE+cVFQW4+eZ2Pv0UAoFEz7GmwcqVDioqfGRmanr6bUmJn6NHzXi9js6K\nc1OPdRrJWsVkZQX1OplYWVNTu6yh2Pvz0596GDcumLSVf35+G/X1IUwm4R5zu23DZiSuZPjTqzJx\nuVwWRNPHYlVVpfKQnFCampx8+qmJykpjdXhFha8zAB/Rmyja7Rr/+peFWbOMhYZRGhvT9YLDmhrx\n4C0t9eNyBfD5FI4e7Uqxd7tN1NTYeeqpo/j98MEHZhYtaqe9Hf75TyvPPWdl2rQgp50W4eKLw4TD\n8NFHFt54I7H3V3u7UAQdHeguNhCus5UrhXurutrCqFFh3SIKh43p/j0VBUYi6C1ixD67nkQQn7Rw\n551pzJjRzle+Yk0ao8rN9Xcqnwxd/poaO1VVXtlrS9IjvQbgVVUNAV8Heo5qSk553G4bLS2DNwUv\n+iDs6Oi+jspshrlzA6xalcrrr1v0GEh83cqHHzr0OopoVtShQ0JJmUywc6eN0aMjhpTf4uIAb79t\n5uabR3Hrren813+lUVbmZOLEECtWiFTcxx9P4ehREy0tZpYscfLxx6aE3l/p6SLW8/77iX9ue/aY\n9RqP99+3sH69g/XrHZSWpnLwYCqtrTa9XiYaLH/+eTfnndehfzaTCT29eOdOYaVEm1cm64A8Zkyk\n25qe+FTrqioH+fkh2WtL0it9zeZaB6zsnIIokSQQreu45po0Q+HgYPD66+aEuo533zXphXdLlvQ8\nahdEwWF33HRTOw0N4gF9wQXCOigsDJCZGSEjI1E5dnTAggVOg0KKsmOHjVmzgoYH++zZaZjNGjfe\nGGDjxq56jdJSP7/4hT1h/awsochuuy2N555zGOplsrKC7N9vTaihiVdgkc74ebLRx/v2JW+xL5EM\nhD61U3G5XB8AZyLmmXxM15wTTVXVscdPvGNCtlM5wfQ2cGogNDU5KSlxMm9eu/4QvPbaIOedJ0b4\nNjc7mDo1Qx8SFT9qN+qaaWlx8PLLiW1L4l1hr77qpKXFjMOh4XCItN/Y40tL/eTlhQyuo+zsCFVV\nHsxmhbvvFplga9f6eOklC48+mqK3RCksDPDss1Y2bPCSk9PB22/b9My06movKSnCYigsDBjG+Ma3\nMYl+3th7feCAle7a0kSTF0AMudqwIaVHt1VsjOVEu7lG4vc/ykiWHY7vcKxYbib51MVjvrBE0hcm\nTvSyfbuY+3311WJbrJKKz0LKywvT0OBOOM5uDye0Lfne9wKGjKWWFgfvv29m3z4z11zTwbJlqeTn\nhzhwwMTMme0UFAT5xz8s/PWv1oS4yN69Fi6/vIOf/cyD1arxySdKQtqwx6Owd6+FoqJ0GhrcXHGF\nh/p64T1OSwszc+Yoysp8ZGdHePZZa9L7ES1oTHafGho6sNlspKV1PfTdbhtjx4a4/fauMbtXX93e\no6KPzYSTI3ElfaWvyuQviEr37wNnIepL6gDZTmWYMtideHsiPji8ZctRXYbBun5sRlH8Z0tLC8fM\nSY90O+WvqsrbY21LOCwKAevq7EyYEErIkLJaNVauTCUYhBUr/BQWBnA4NC68MMQll8Ann4DPBx9/\nbKGmxm5QONERvfPm+XE4NNraLGRlBXUZWltt/OAHHaxaJTLEHnrIy8MPG9dYv97L//6vlcpKH6Wl\n4rjYVvJZWUHS0+1EX44H0kRTKg9Jf+mrm+sxYByi0eN7wFjgXuBtVVVnHlcJ+88p7+Yaqol3brcN\nu93Km28yaNeP/ywWi2bI1vrsZzu49tq+u9h6UrKxLrMlS3w8/nhKty4mEddo5wtfCDNvXtdkw/PP\nDzNt2ij9mKKiANddF8TjUVixIrVbF1syV+Ezz4iiRY/HTEeHwptvmikrE260igo/NpvGsmWpbN/e\nqn+e6PfneLoejycj2VU0kmWHE9c1+DvADaqq/l5V1ddVVf09MLVzu2QY0V3jwxNBVlYQTVMG7frJ\nPktjo00PNJeUOPF6uw8mx3cX7um41lZxXGFhgKysCP/+d+KfhqJ0TU+02WDChLBhMuOSJU7C4dh1\nxQz25mYzCxakJWSSxd6bZFlXkQi89ZaNqVMz+N73RuHzmQgGYe9e4dYLh0XKcX/o6z2RSPpLX7+J\nLUBq3DYHsp2K5BiIf6D19QGXmRnhggsihkypZL25on214jOeuts2fXomzz8vrJJnn7VSU+Ml9/+3\nd+7RUZXn/v/MZDLJJBNIo9VoVOxRId4q9vCrtaUVtbisxfQUT96TYzG0gIuKLeChmJIiAVqhgVIJ\nKm1Ogdbo8aQv/rDFXqhZHKGyen6eorXHaxGvmAq2xkAymcxkLr8/9uydPZckQxKYmfB81nI5s/fM\nnmcmw/vM+1y+T0WY++/vtq67fr0PpzO+auq555IdgMsVZe3a/oqtJUt6efHFoaunnM74Mb/r1/v4\nzW/c3HGHN65q7Ctf6e/Mf+GFvAEVfFNJ7r/zjiulVL8gjAbphrm+DdyK0QF/CCPMtQB4FPij+Tit\n9X+NxBilVB6wH3hXa32zUqoM+DmGWvFbgNJadw5xGQlzZSjMBeD1etmzJzrg6yd2q4dCjkFttT/+\nZz/r4qtfLUkKBRUWhuM6tVOFeMzBVlOnGt3x+/a5aGnpoqpqvDWoKhiEZct62bDB6DJfvryHAwfy\n6OlxsG+fi0cf7eK11/qT/fff300w6GDJkv7Jhhs3FnD0qJPGxh7c7ih79uRTWBjl8svDSZVh5vtN\nrFi75JIwP/xhYcohXKtX97BiRRH33+/jkksCSZ3sid8fey/K8YQDM0Uuh4py2XY4edVcX4/9f5nt\nmCN2/Ou2Yx8briExFmFI3JfE7n8baNNar1NK1cXuf3uErzHmOV7dq9HE4XAwZUp3ytdP7MZuayug\ntbUgpVS8ifle3nsvn927kyuc/uM/jPG3QznNaJSkhLr5O2rSJCM2NXNmkA0b+vMk3/teETNmBNmy\npZDy8gjRKHzwgcNK9v/tb05OPz3Mvff6mDQpzJIlRTzzjDt2/SLq6vw89JDhmOrr/dxwQ19SJZn9\nM1m+vIja2gCXXRais9PJgQPJ3fSXXdY36JTD7u4oXm//scSiBUE4UaTlTLTW559gO1BKnQPchJHk\n/7fY4Srgmtjth4A9iDNJi0z/4hzp6ycmymtrS5J2DvbRtokzSxKlR/LykueB/OpXxuP+/GcX69f7\nePbZ5H8OXm+U8vIITU0+AgEHq1fH7xQeeKCb73ynmCeeOMrbb7tiNkf4t3/r5c9/dhEMGrmTNWs8\ncY5p1qyeFO/ZyLHcfruP5uYua7fSX6kWZfz4cEpdrfjdaDTJscqMduFEc3zZuxPLfcBSjMZIkzO1\n1kdit49gNE4KOUpiHH/69EDa+Y7S0ggzZwY5dMjB7Nm9PPbYMZqbC+joMKqmamoCdHX1O4MpU3zs\n3HmUnTuPMmWKz+oItxMMOpgyxccXvhDk3ns9RCKG2KNpz/LlPUQiMGNGkIYGDw5bAMB8TbfbCNcV\nFRmd5pWVIe65x8+KFUVJUyQ/+ckQixf72br1WFw5b+JnYMjq+9i+vZPKSmNmCsCECaGUjiTdoouB\nJk0KwmiQbpjrhKKUmgG8r7X+k1JqWqrHaK2jSqmkBE/s8dNsj6OkpCTxYTmD2+0e0/ZPmxZl795u\nAMrLnUSjUX79ayPOfMEFcORIcdKUxKefPsqqVX4rV7Fxo4/x46Mxwcb+8FVrawFbtuQxdWqEffuc\nzJtnPH7LFheTJoWTQkZz5nj5wQ/yuOiiCJ2dTjZt8ljlvJdcEiYUgkceKbA62IuKovzgBz6+9z1P\n3Gv+5Cc+gkFobc3nvvt8fO1ryVMkr746ZKkFX399CK/XiyPmneI/EwcOh/H5lZTAeedFqagIWZ+X\nec5Od3dy3tP4OyRLtfT/aZLPZQO5/P3PZdtNlFIrbXf3aK33pPvctBLwJxql1BrgNiAEFALjgB3A\n/wGmaa0PK6XOAp7SWlcOcblTPgGfSY7HfkMYMp+FC4vp7DS0tj760ajVpwFGKGnHjmNJx2bP7uWq\nq0L8/e/OuKFSg0mOvPOOi/Z2Q9m3paXfSeze3cGLLxZYzmrJkl7Wri3E7caSQFm1ys8554RZudJw\nJKZUvXn9X//6KC+/7OLZZ11xeaDy8giPPXaMefO8vPqqy3JWt97aOyrzQswdyDvvDKyWnEvk8vc/\nl22Hk9dnckLRWtdrrc/VWn8MqAH+S2t9G7ATmB172GzgF5myUTg+hir3NUNZtbUlzJ0bJBiEurpi\nPvjAwZo1/aEms/M8kZ4eB/X1RVx2WShtmyZP7mHy5D527TLk4+fN66W0NILPl0dDgyFjX1MTYO1a\nQwaltDTC5z7Xx9q1PTQ0eLjllnHMmxfkj39M3tCHw4bgZEtLAUuW9Fr2NzX5+MhHjIR6WVmE5cv9\ntLYWUFU1fsTlufZwYCjkYPfuDvbu7c5ZRyLkNlnhTFJgrh7fB6YrpQ4A18XuC1lMNBpNmfOwkxjj\n37ChkFmzAsyfH+D220tYt66QpiYfs2f3MnFiX0rlW4fDaNgbPz6UlHMwBk0l52LAUNFdvdpv9aqs\nWdNDOOzgxhv7uO++QioqorjdUFkZoqHBz4IFXu64w2s5vEWLiqmuDrB5c3fc9T2ecOy9OVm7tpCa\nmgA7dhxj6lQjB9Lc3MXtt/eybl3qpsXjJVWeJBKBs84SuTwhM2RFzsSO1novsDd2uwP4fGYtyk1O\npjaXncOHScp5mGXCg9lz2WVhK1xlzvfYseMYEyb00NHhThr+dOONfXEz4HfuNJLcZugoUayws9PN\nwYP5PPWU2wpDlZVFePvtPEu5t67OT2trPk1NPs45J8wtt4yLy33MnGmo+BYUhLnqKj9tbf1J9M5O\nt5WTKS2NcPXVobgdlcsV5dpr+6xSYRNToytTfy9BGC2ydWcijIChdgZwcmU13nsvP2kmh33nsHlz\nN1de2Zf0vJKS/vG7GzZ04/VG8XqjrF/v4/bb+yXR9+8vpqpqfFLoqKwsyBtv5HP99WX85CdGYt8+\n82TmzGCcvEljo4e5c4N4vWHGjUsOn512mrErCgTyLBFL+7TD1tZ8vvtdH8uXG8UCN99s2NPZ6Wbu\n3HEcOuRM2mG53UPv5FKRqgpMHJGQScSZjDHSKRMdzuKVLuXlJDkKu36VaY99auBFFwUpLAyzdeux\ntBZHpzNqlcgO9n7t50zNrB073FZOw+tNzsVMmRLivPNC9PQkD+T69Kf7aG4u4JFHCpM+O3Pi40sv\nufjWt+Lf79GjLkpLI3z/+x7Ky/uHb02YEKaoKDxsLbOxXuorOmK5hTiTU4wTLQRpdMD3L3KTJgUH\nFCNMnBpoJpETF8fOTjcHDuTT2mp0zB84kG8JM6ZvF7GdAGzd6qapycf11wepr493GJ2dDqZPL+PP\nf85Pml545Ege8+cHaGkpSPrsuruNsb2ppj1qXcCqVX7y82HjxkKqqoLcemsvV13VHScMORzsu6Ox\nxIn8wSOcGMSZjDGyJfxhLnJm8jmVPQMlkc0cgrlQ+3x5SeEoUy04USCxvj4+DGW+tl2kcepUo+fj\n7bfz2Lw53mHs3GlMNvzxj92sWGEk6vftc7FhQw9XXBHiN79xMXNmkIUL/cye3Wup/Xo8YUpLjV4U\ne+PjkiW9tLQYZcctLV1s2XKMSZN8Vm4nW/5e2UQmla+F4ZN1CXhh5AymzZUJWQ2XK2pJgrhcQ/c1\nJQpV/sM/JOdTzOqpSKTfSXg8UVyuKDNmjLeea3TCR3A4YPr0gNWLUVfn5+GH3TQ0+LnrLuOX74MP\n+njtNQfNzd2cdlqE9esLUSrAxz8eZu5cI0m/caOP++4roKamj8ZGDw89VEhzs5MpU3zWtZ58MsK2\nbd3s3euyyozLyyN4POGUn3UmtdQEYbTIiqbFUUaaFtPgRFUPpVKtHWxI0759JVazYFOTj8svD3Dd\ndfGP/9WvjnLoUB533GEs6Js3dzNpkrHr6ex085e/GLPUzdnp5nMrK0OsWdNjVWs1N3dxzjkR3nwz\nj2efdeH3O7jsshBXXBHiww+d3HOPx3ISYDicN95wsn17fBPiqlU9NDTEN0qmaqw0VY7N15YZ6kNj\n2p9J5evhkuuf/clSDRbGGJn8Bez3G2Go3l6jWdAs+W1o8LBtW3wSobQ0wnPP5fPmm04efdSQrDc6\n5r00Nfl4/nkjzPTww8cYPz5Ka2u/TMiNN/axYEF/p/r8+SXs2HEsqXt9x45j1NaWMGNGMEkMcvXq\nHrZvj7f/tNNSCH2l4LTTIinn0QtDI7u13ENyJsIJwZxe6HQS1+DX1OSjtraE6dPLaG/Po7PTyZYt\nhWzZUkhnp5NXX82zkuKVlSGWLzdEE3/600L+9rc8amtLePVVl9WL4vc7+OlPC3nxxXy83vhBWTfd\nlLwIpQqzDRZ6u+iiUFxHfn29H7/f2EVVVoasPMeECT00Nfni3ufZZ/tHlCA/1auZxmpxwVhFwlxZ\nRqa2yvaw10hCYOZwrLq6YksMsbQ0wqZNPkpLI5YzACMMdffdvdTXG0M86+r8HD7soKIiyhtvOK0h\nUeZAq9NOi/DLX7rjBlxNnRqyZN3NOR8dHYYTA6wQGPSHS55/voi2NmMHM316gMmTe6wBVfaZJ+vX\n+3jvPQdeLxw4kEdBQZSrrgpZ17OH20za243njlR3a7hhnlwPteSy/blsO0iYSxgF7AtXU5PPUrcd\nTqz68GFDY8s+JfDwYSe1tSU88cTRuDJhU6/KPq/D73eyZo0xoGrhQn/c4v697/lYudLP4sVGjmX9\neh8rV3qs65lJeVPGfv78EkpLjV3Cc8/lWTuQUMhhhcOuvdZwBIbkex8ffOBizZoIoZCDs88OURmT\nFb3mml58vrw4AckFC7xWGMtktMQbU6kIyK90IZsRZ3KKk7hwLVpUbA1xSncRs+9kHA5DGv7gweS5\n5w4HrFhhjMIFmDgxzPPP53HTTUHOOquPd95xWefAmI5oz2G8+GK8Iu/SpcWxpLtz0JJj8z3NnTuO\nnTujAy7UZWVBzjvPzWmnBXA64eDBfL7ylf7dwYUXJleVCYJgIDkTYUQkN5dFaWz0JKnnmmKI5q6g\ntbWAUMjBjBlBLr3UR1lZkMmTe5g1q5cHHzRyD3nJ/iiJW2/tTbsDvLTU2HHU1ASsgVXQXxAARtNl\nWVmQSISUPTAnoydEek+EXER2JqcQqXIhZoLczAOYYa6hFrGODjd+fx51dcWWaOJTT7k544wgpaUR\nXn3V6LGwz+7o6HCzZk3/TmPNGg9PPNF/fXtoqqWli4qKPq69Nmgdq6oK8LnP9cXlQIqLw0lTFBN7\naUwBx1Wr/MycafSZ3HOPn+ZmozO9trbECutNmzZ4DvFkVRlJNZOQa0gCPss4UUm8VAld++K9aZOP\ns87qGzIB/957Ht5+28Wddxp5i7o6Pw88UMDXvx60ZrMPlHdJ1XOyenUPFRWGHpZ5LnGAlL2XxG7r\nUAOhzPfhdJKU7zBLgufM8VoFAeXlEfbu7cbr7R7wMzteTrYacK4ngXPZ/ly2HUaegBdnkmWciC9k\nqkXcPo0wnel/HR1uDh1ys3evi4ceKkxyCPaqq337XLS0dKXs+LZXUk2cGGbTpkLmzw/w2c8GmTFj\nPMEgLF/uZ906I7Fu5iquvz7Z/trakrjX3L69c9Cd1GCfgXnM7kzM50FqZzCUo8hE412uL2i5bH8u\n2w5jZNKikBlKSyN885t+HnzQx65d+QNO/zPzInPmeJk8OVmZ8PLLQyxYELAGTi1YEKC4OLV0SHd3\nnpUz6e118P77htZWNApbtx5j/Xpf0gApU4fLjsNhzH43X3P+/IBVDpyqPyNVHiLVEK3ycpKel+p9\nHO8AMNGXEsY64kxOAVItpF6vMXFw+/YC7rqr2JokmLjoJS6Kq1Z54oQMm5u7cLujVi7k8GEna9Z4\n6OnJS1o829s9LFrUL8++bp2HmTONhbqw0EjOv/BCchrP4UiWtXc4SBJ/7O3NG3SRTyXZnnjM4Rj6\nh5k4CkFIRpxJDjJYZ/RA50yxxZqaAOGwg4cfLoqbM2JOEhyKzk4nr7/uZNu2btraOnC5ojz7bH7S\n4/70p/y05MO93ijNzV04nYYjS6wCM0f0XnhhH21tHbS0dFFfX8QjjxQmXevZZ/OHtcifiE5rqcgS\nTjXEmeQYg/3yHuhcR4cx6W/jRg8bN3pYsMBLRUWyvpS5sNsXvcRF8cEHfVRXBzj33CB+fx5Llnh5\n8cXkQVIvvpiXtKBXVPjjJEc2beqfmGhWZNlnqK9e3cOECWFmzSqJ5UxcVgd9S0tB3GsuWdLLCy8M\nXks8WjMy0nUUY314lSDYkdLgHGKwzujj7Zr+y1/yWLKk16rASiUNYpJYpmoklg2Zd7Oaa9GiQFwn\n+yOPFCRdB2Dq1C527jSS5vZkf2I578c/Hua115yEQvD++046Opy8+Wb/17Wjw0lzcwGPPXaMxx4r\nYO1a433cc4/f6pgfqJExnc9nKNIt3ZXdiHCqIM7kFCBxoTZLdwGrnyMSIalfI/EakLwoNzZ6qKkJ\nsHlzAZs2+TjvvCgvv+zE7cYSPExcUAeqGDNnjzz6aCHf+laRNQdk5kyjI//NN40Z6qazmD8/QFlZ\niGuv7ZdHufDCEPfe6yMcdlBYmJ6673AZDUdxskuHBeFEIaXBWcZQ5YWDlZsOVYpqX7jsgoTplLDa\ncw+JJbY7dhzD5YpSUeGnu9vLl75UlHbJbqrXSby+Oadk61bjdd5+28jRTJjQx2WX+a3nBQJ5/OEP\nRmMkGLumG27wW7utdN7nySzvPBGlw7lenprL9uey7SB9JqkY084ERtb7APG9Hl/8YoDbbusf6lRZ\nGWLbtm7c7igFBUYZsNkcWFpqVFJ1djqTOubNBsXKSrjmmpI4Z7B7d4dV3puOEGLiImvXxEqlAmzS\n3u5J6hsxlYTT/XxO5nCywYaGDZdcX9By2f5cth3GiGqwUupcoAU4A4gC/6613qSUKgN+DkwA3gKU\n1rozY4ZmCfaQk3k/3XBJZ6ebAwfyrbDQ1VeHbNeNMH9+gDlzvElqvffe66O8PMqyZUUcPeqkpaWL\nj3wkwm239UvKz59fwu9/f4ymJp81PXHz5m5eeqmAhQvNaYoupk4d/B9cqnzE/v3FPPWUO07oMTHv\nYaoG20k8JuEkQTgxZEs1Vx9wl9b6UuBTwJ1KqYuBbwNtWuuJwO7Y/VOejg43L71UTHV1KdXVpezb\nV5J2lZLPlxfXn9HQ4LGEFWtrDQcydWrIekxxcYSCAvjOd4qZO9fLnXcG6OuD2toSolHiJOUBuroc\n1vTEGTOCPPOMK64EedGiYivENhj2cl0zT9PdPfiPJqcTa7CWOcjKmS3f8ASkdFgYa2TFPzWt9WGt\n9fOx293AK0AFUAU8FHvYQ8A/ZcbC7MEsb62tLWHu3CA33NAX1wg4VG9F4i/1zk4nlZUBdu48yj//\ncyDp8Xfd1cvSpf3Xv/vuYu66q9e6VuKCWFKCNT1xxw43F1wweknwHTvcSUrE9gU4EoHNmwssR7Z5\ns7H7OlETC0d6XSkdFsYSWeFM7CilzgeuBJ4BztRaH4mdOgKcmSm7soHEzusNGwqZODE5tDMY9l/E\nlZUhWlq6+Otfjf6NefO83Hefj337XKxY0cPixX4qKiKUlsY7BLe7v+zWqMA6ys6dR5kyxceZZzpi\nuZMQ99zj54c/LIzrB2lq8iXlTeyL8mBSKG43bN3qpqWlK+UCXFYWZMOGbrzeKF5vlKamLg4ezB+w\n92YkjmA0e1ZkRyKMBbIqAa+U8gJ7ge9qrX+hlPpQa/0R2/kOrXVZwnOmAdPM+1rrhlxOgrndboLB\n1IvLe+9FueYab1zSdvbsXj7xibCVo9iyxcdnPxsdVBYkGo1y5EiUl15ycscdxZSWRmho8POHP7j4\nn//J4/77ezh0KM9SBn7ggW7++EcXgYCDqVP7uOKKMMeOGTZ8+CHMmlVivfb11+cTCAR45RX4+c/d\ntLQU8JGPRKir6+XSS8NcfHGEv/3NSMafeWaUffuczJtn5lP6k/nm+wBjeqPDEaGry3hPF1wAzhTx\nq2g0yu9/7+D2243r/ehHPpYt8ySoAnfx2mv9r5n4eQ32+Q/2d9i7t5uzzhp27nLUSMf+bCaX7c9l\n28EoIFBKrbId2qO13pPu87PGmSil8oFfAb/VWm+MHXsVmKa1PqyUOgt4SmtdOcSlxnQ1l73Syd5o\nmJiAHyohb1YTJar01tf7ufrqIDff3K8obG8EXLWqh9NPj3DnnUZFlTk69/XXXZSXR/j977t45RUs\nG+vr/YRCsG6dMQt+1Sp/XHK+vr4obrE3pzyaVWAHD+bHzSVpbi6gsdE3YPlyqrLijRs91v1U36CB\nuQAAFkBJREFUSsH2Kiqv18s77wTT+uxGuxJrNMj1iqJctj+XbYcxohqslHIAW4GXTUcSYycwO3Z7\nNvCLk21btmGPs191VbfVQ2EPl6QTgvH786ipCTB3bm+cSu+aNYaCr8nMmcGEhH0RTz+db91futTI\noZiz3D/4wJgBb+Yt2tsd1vWnTg3F5XcWLPBy440Dj8L1+fLiwnpmccBAeSG/P1lO5YYb+uJCbF5v\nfFiwtDQSN2nx6acdQ352kjwXhGSywpkAnwFmAdcqpf4U++9G4PvAdKXUAeC62P1TnsHi7O3tHp56\nyk0wyIAJ+f37i6mqGk9rawGf+Uwo6RpOZ79Kr9c7+M61tDTCOedE+NGPDBn7nTvz46ThP/GJwXM6\nN90UjFvs9+1zxY35TcTjGdie4uJwXH5mzZoeVq0qtBxbQ4OHcJi4nNGqVX6qqsYzfXoZL71UzLx5\n6RUzSPJcEOLJmjDXKDKmw1yDYQ+BLVnSy9q1hbjdsHPnUWtQVWKIprIyxN1391JfXwTEd413dLhx\nOuHFFwus0NTdd/spLo7yyit5eDxRrrgizOLF/eeOHHHEDc+qrAyxZk2PNSXRHuYymw5T9cs4ncZO\n4+mn3VaIra7Oz/vvO/jUp/oGXMDtDZlVVQFuvXVcynCUOXbYHvJavNgf18eSTeGrdBnO9yebJF1y\nOVSUy7bDGGlaFIYmnRyIXTNrwwZj/vrVV4d4/HFjcb3uOhfjx0cpLY1Yj+vsdDJuXCROpNHEXHQb\nGjwsX97DwYN5PPhgAXfeacib1NQEWLy42LrWunUeVq3qibOrs9PJpElB2to6rGu2tQXi3kuiSrHp\nFGtqAuzalc+MGcb55uaCmJbYwF30kyf3cN55IetaTU15lvOy64TZHZfJrl35PPigzyo8OBXCV5mY\nBimMTbIlzCUMwnDLUJUK8MEHDh5/3M0ZZ0S57bZxVFWNZ9UqP5WVIUsufv36Qq66KkQ4DA895Mbn\nix9s1dnpZMWKIioqotx8c5+VA0nVROhyReNk5pubu5KUiM0wXUeHm85Od1JpsOkUW1oK4kJmjY3J\nZcWpsF/f3kDZ0OCJe1+JuY/58wOsW1cwYOnxWEOGfAmjiYS5sozErfLxVA4l/sqsqIgwY8Z4ZswI\n8qtfuZM0qzyeME4nHDni4ne/M0JakyeHk8JQZuiotDTCtGl91NSMS1n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CVmbP1kJ8QyHYvdtOc7MWqfXYYw6sViguDlJcHMThUHnsMUfauZ580sHevS7c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\nC9LZCZdcEslY0NvbXbhcvTuTd98t4JlnCggEbHzhC2F+8hNDquVEHUG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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Male\n", + "pos:2557521 (1.2) 19397785 (0.88) 819800 (0.81) 7302282 (0.77) 17454769 (0.59) 1344951 (0.56) 742143 (0.51) 7563792 (0.51) 4081481 (0.49) ousted (0.48)\n", + "neg:7025662 (-1.2) 268439864 (-1) 15846407 (-0.91) 14230524 (-0.83) 2390651 (-0.76) 9541782 (-0.71) 16190898 (-0.7) 1507651 (-0.69) 1495901 (-0.69) 6427882 (-0.67)\n", + "Top Coefficients for Female\n", + "pos:7025662 (1.2) 268439864 (1) 15846407 (0.91) 14230524 (0.83) 2390651 (0.76) 9541782 (0.71) 16190898 (0.7) 1507651 (0.69) 1495901 (0.69) 6427882 (0.67)\n", + "neg:2557521 (-1.2) 19397785 (-0.88) 819800 (-0.81) 7302282 (-0.77) 17454769 (-0.59) 1344951 (-0.56) 742143 (-0.51) 7563792 (-0.51) 4081481 (-0.49) ousted (-0.48)\n", + "predicting ['18-24', '25-34', '35-44', '45-54', '55-64', '65+'] for 1072 brands\n", + "fitting on 857 training and 215 testing instances\n", + "fitting on 857 training and 215 testing instances\n", + "fitting on 858 training and 214 testing instances\n", + "fitting on 858 training and 214 testing instances\n", + "fitting on 858 training and 214 testing instances\n" + ] + }, + { + "data": { + "image/png": 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n9GITQaE+uEbb7NW2e7xYqu1CzxofD3LDDWM895w974Ybxhgfz9yn0hrSfuOU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\nDzduQSnvMaWcKWMCCk3a2bU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NXDjadoXyqdakUU67Xq/by6e93ZmQTakdnKCx/DTXLS0J4w5icNDrajuZtLjh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\nExofERAVUk0d9pw5A8ycGU+t0gaKrnh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oCjxLCWUVJosoCGHaKNfzuFoMPpQfvBzH1jJyFY+/rpF/1u7i36YUdHfnuP/+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\ni+i9+905vvIVuyo4/3yIRLxrR6PB+NJ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k27t33DhX0I6o+NjwsBld9cwzZnQVwA9/mMgl573vfWGuuaa0jcmmmq4ohsZC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\n5dFHw3znO16a8vveN25MPqEQ3HbbWFG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EHj57AcB1ZZOOqHnqzTHY1hbDwYNOPPOM7mC+7baEcvIw6zut6kUdiTBs25Zb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\nYzAottOnze/z8LAzW+UW0Cv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OwQiH3YYs8b4+VQG8JB56KFagBFX+i1AojiNHhvOSENXy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\nIcRNnPMfQC9q+CEA/xnAjwB8RghxqTJXRhDWoZ0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nP2uHt4Jd4G901LmTiMct9u0b5Kmn2gH4wAdGiMfdu5Igu5zKOlAA69Z1c/jw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\nQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for 18-24\n", + "pos:19397785 (0.38) MENTION_hotnewhiphop (0.36) MENTION_asapferg (0.25) MENTION_collegehumor (0.24) 166739404 (0.23) 23375688 (0.2) MENTION_theonion (0.2) HASHTAG_tsm (0.2) 138185168 (0.19) HASHTAG_lnsm (0.19)\n", + "neg:17919972 (-0.87) 14075928 (-0.44) 16312576 (-0.32) MENTION_breakingnews (-0.2) 5988062 (-0.19) tour… (-0.14) HASHTAG_jimmykimmel (-0.13) MENTION_todayshow (-0.12) MENTION_toylandgiz (-0.12) “MENTION_peoplemag (-0.12)\n", + "Top Coefficients for 25-34\n", + "pos:MENTION_theonion (0.44) 27993589 (0.38) 6017542 (0.29) MENTION_gawker (0.29) 19397785 (0.28) MENTION_esqtv (0.24) MENTION_gothamist (0.21) MENTION_dcist (0.19) co-sign (0.19) MENTION_onionsports (0.18)\n", + "neg:14075928 (-0.47) 16312576 (-0.33) MENTION_breakingnews (-0.24) MENTION_gdelaurentiis (-0.19) 17546958 (-0.17) MENTION_themowglis (-0.15) MENTION_cnbc (-0.14) moscone (-0.13) 17784293 (-0.13) overshadows (-0.13)\n", + "Top Coefficients for 35-44\n", + "pos:17919972 (0.18) 20447988 (0.16) 2883841 (0.13) 5988062 (0.13) MENTION_toylandgiz (0.12) “MENTION_peoplemag (0.12) 14075928 (0.11) HASHTAG_jimmykimmel (0.11) MENTION_joycemeyer (0.11) 27098085 (0.11)\n", + "neg:MENTION_hotnewhiphop (-0.2) 17546958 (-0.19) 27993589 (-0.17) 41634520 (-0.15) HASHTAG_qotd (-0.14) 138185168 (-0.13) 166739404 (-0.13) MENTION_theonion (-0.12) 62513246 (-0.12) blum (-0.12)\n", + "Top Coefficients for 45-54\n", + "pos:17919972 (0.5) 16312576 (0.46) 49140008 (0.32) 14075928 (0.31) 5988062 (0.18) MENTION_breakingnews (0.15) 26585095 (0.12) MENTION_gdelaurentiis (0.12) 17784293 (0.11) 20012204 (0.11)\n", + "neg:19397785 (-0.3) MENTION_theonion (-0.28) 27993589 (-0.21) 6017542 (-0.17) MENTION_colourlovers (-0.13) MENTION_katz (-0.13) HASHTAG_lnsm (-0.12) 2883841 (-0.12) MENTION_asapferg (-0.12) MENTION_hotnewhiphop (-0.12)\n", + "Top Coefficients for 55-64\n", + "pos:14075928 (0.26) 5988062 (0.22) 16312576 (0.21) 49140008 (0.16) 17546958 (0.16) MENTION_gdelaurentiis (0.15) pensioner (0.14) 17919972 (0.13) MENTION_breakingnews (0.12) rudest (0.12)\n", + "neg:19397785 (-0.28) 6017542 (-0.17) MENTION_theonion (-0.14) MENTION_gawker (-0.13) 20447988 (-0.11) HASHTAG_lnsm (-0.11) MENTION_colourlovers (-0.099) did.” (-0.099) MENTION_onionsports (-0.097) 2883841 (-0.096)\n", + "Top Coefficients for 65+\n", + "pos:17546958 (0.23) MENTION_cnbc (0.17) 14075928 (0.15) 17919972 (0.13) MENTION_gdelaurentiis (0.13) 41634520 (0.12) 418991627 (0.11) MENTION_breakingnews (0.11) pensioner (0.11) 26585095 (0.11)\n", + "neg:49140008 (-0.32) 6017542 (-0.15) 20447988 (-0.12) MENTION_gawker (-0.11) MENTION_theonion (-0.1) wr… (-0.098) 19397785 (-0.082) MENTION_hboulware (-0.074) MENTION_kasie (-0.069) cheetos (-0.069)\n", + "predicting ['$0-50k', '$50-100k', '$100-150k', '$150k+'] for 1043 brands\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 834 training and 209 testing instances\n", + "fitting on 835 training and 208 testing instances\n", + "fitting on 835 training and 208 testing instances\n" + ] + }, + { + "data": { + "image/png": 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0oKBAwpo1HeNd1ZvgOwgOh3NcIAuqvLwAIhGgvNyFujq6Bl682IXa2nrU1tYrbfTnmB23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\nY9QHXQ0eHMJ997Uq+YFKS33Iy4soOY+qqz3MKlq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fQ9RQ2ExhuULmimImkbBGPA0NMH9+iiuusJVUvgKJxfz5BfkmJhVgsXVvGx21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\nqrILxWoHTbQDWlSKOcKj9FgOS8aD0uR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0fqiGhU414zeKaQPwPcuyngB+DZwFXAF8oVyCCVNP0O12EGdkOWhtTXLLLXG+\n9CVHkX3964NFSzWkUnDihMpmG584oTzt7rNmxVmwYLy8xIIFSWbNMjvBlYL29lS2LEd7u7eiUsrd\nUMdrbDjsLof9xBPme5FIwB13NPPpTzvP33FHM3v2eN+PIHkex45FWbNm3IS2Zk0rBw+aneUZ/E6y\nQQMdyoFTKmUk+7cwji8FobV+0LKsnwKfAGYDPwO+prV+qZzCCdXLZGy3x45FCYdTzJpVGhmSSfjS\nl8Ynri99yQlb9SKVgq1bW7LjZ81KcfBgn+f4GTOSfOxjzoTR3OxtWonFGvI+i1mzUjzyyAmmTXN/\nFqmU2weRSnk5tP07qVtakq56UMXqUmX6TOeH23oOLwtBvkPlCoktZ7LlZOWByjvuM/jOg9Bav2RZ\n1q3ATK318aBvZFnWvcDlwBta6/elj20GrgHeTA+7WWv9T0HPLZSGcsalHz7cnlMDKcSSJcVjXY8d\ncyauYqvUoBVMEwlFR0cq66Q+fLjB0/be1xfhtdca8nIQzjzTqx80rvN6+SBsW7kS2j70IbPzu7HR\nZteuAX70I8dWdMEFY56r/KDNd0yFCxcvNt/ruXPj7N7dkFfDaqKQ4nJMdNUSElsuqmE3VYgvBWFZ\n1gzgb3B2EAmgxbKsq4APa603+Hyv+4C/Bh7IOWYDd2it7/AvslBO/P4TBlEmx45FszWQADZt8o7n\nh0Jl0uCpTEIh2LZtkFRKpR/bRctLhEI2X/1qPC8c1SuCaGDAUQ6ZCXft2lYOHkwaFURrq/u8Xv6K\nM85I8OUvD/Pss86k/+UvD3PGGWZ/RSgEsVgoG6W1cGGSd76zNNVO586Nc9ttYZ55xpHjttuGik76\nS5b08+ijSZRSzJ9ffOLy2+VvMguSUiuGaknWq9ZoKr87iG8CbwFdQMas9BxwB45/YkK01s9alrXA\n8NQUb2yFifD7pfSrTGzbXSfIa4UdRJm0tSVpbW1g7VrHrLJzp3dXNIBUyh2O+uij5nDU4WF/x8Ap\n7Fd43u98x3zegYEwR4+6ayCZErTGxlSeSWzr1hYef9wrfBa2bBniZz9zdlDvfndywuY74bCdleOS\nS4rfc78tR4OGHleD/b8cWf71gt8opt8Fvqi1fi1zQGv9JnBmCWT4omVZ/25Z1j2WZXm0jxdqmYYG\nd4VPr97KoRCsXTtMW5tNW5vN2rXDnhNdLDa+yu/pCbF2bSuxmPeap7094Yp6am83r94bGtxRTF4T\nWDLpjqb6j4H4AAAgAElEQVTy6s42NOSuEusVxRQk1FYpZyeTCVttbfWuEgvBooKCjA0Sepyx/+/a\nFWXXriif+9y0kkQmTYbOzlFmz67cWrVao6n87iB6gTOArO/Bsqz5uY8nyV04CXcAXwO+Dnwud4Bl\nWcuAZZnHWmva24uH2dUykUikJq7Ptm2efVZxzTWOWWXfvkEuushGGWalo0fdDt7R0ZDxOgcGEoyM\nqOwKdP36OO3tGMcq5T6vUsrz8xscTLh6MTQ1hY3jZ89OZPMVwMldmD3bLEdDg/u8DQ22cWw4nHT5\nK8Jh83kjEXcToEjEPLanJ5XtoQ1w442tfPe7KebNazJ+FgMDtksO57vnHj8w4FaMXmOnT3ffk+nT\nve61//NOBZX+31u2zObpp53CjbNmKZQqvSxpv2+GQ1rrQ8XGK7tYuuX4Sb8CXIVjTnoM+BhwG3BQ\na70zgHALgCcyTmq/zxVgHz9+snqpemlvb6e/lMWKykQsFuGyyzrzIne6u2PGVc8bb0R58cWGPBv9\nokUJzjzTbTY6erSFq6+elnfexx47wfz5Zjv2M8+05zmSly71/ux++csWrr22jSVLnGX44cMN3H33\nAG97m/vcx49H+cu/jHLttY6CuPvuJm6+OW6s6PrKKy184hP5Mj/88AnOPtt93jffjHL0aIiennB6\nbJL581OccYb7vCdORHjxxQg//KHjJ1i8eIxFi0aN0VHHjkW56qrprgitYn6FIJ9dEAdqucaWm1r5\n35ssc+bMgYAmfb87iNuBOLAHaMRxOH8T2B3kzQqxLGt2jtnqauA/T+Z8QnWSSDhlLXJLXDz4oPkf\nMUiNoFgswoEDjdx3n3Ouu+9uYtGiiOfWPBKxXR3avHorj43BRRcl+bM/cyavdevinjWTTCYwL7PY\n6Cj09TlNcsBRlqOj5gt8660GduwYz23YsaOZnTtTRgUxd26cnTvzo66KKYcjR1pcTvhHH03S1WVW\nxEF8BUHG1ntkUq0zoYKwLKsBp3DfSq31pBWCZVnfAi4GTrcs61fAJmCZZVnn4EQzvQKsnOz5haml\ns3OU3bsHfbXvDFKKoqnJnSfg1T4zFHJP4sUcs6nUeHkJcMxXXsrHtt21mB55xKwhMv6KXJm9JsaR\nEbdD+8ABs+M5kXAn1Xn5IGKxCPfeG2HPHsdEsXdvcWUZhCC5ApPJKxDFUL1MqCC01gnLsj4KnFR8\nndb6k4bD957MOYXKkdu+E5xoowMHzL0V5s6Ns2mTv9VtYyPMmzdu+583z7tkxNBQ2DWJezXqASeK\nqbBDm9ek39jozm3wkiOZdDffueAC83lNjmMvZ/JppyVciue007xDYq++eizb4Ojqq8eKKsuuriF2\n7gzn3ROv3UMQguamCNWN3yimncBWy7IqE2IgnDR+6t0EpbDwnRfHjkVd0UaZRLhCBgYUO3aM1yra\nscPps1wqCqONvHFyGzJ1kL761The7VFCIZtVq8ZrJq1aNeKZXxGJ2Nxxx3jdpjvuGPQ0c3V0jLJw\nYYKtW4fYunWIhQsTnuGipqKDXoUIMyxd2s+jj57g0UdPFPU/BImwaW1NGmpYFV9bluO7KZQGvz6I\n64CZwA2WZb3J+H+KrbWeXxbJhJJRDkdgkD7MQWz0oZBjo3/hBeer2dcX8hzb1OSUwM4th91UJACm\nsdGd0OaVmTwyolx+k7vvNrcGHRtTPPRQfnb0Bz5g3kGMjCjuuy/fFLRxo3kC7euL0Ns77q/4+tcH\n6eszZ3MnEm7zmZc5Khe/u4ZMY6ZwOMSsWd7fH0epNbBihXPTFi40N1nKUE1OasGNXwXxJ5iXT5Lk\nVuWUK0NzcNDdh3nxYrN5J5l0KxOvPIGmJtsQimqexHt73ZPtLbckOe0087nHxtz2/0ceMdv/IxF3\nwyCvlX4k4uRrZEpirF3r7fyeMcM5b8YUtHLlCDNmeF1fA1/72riS+trXotx7rzmbOxTCZT7zKuw3\nGfwmygGcc84Q8+c72mmiFrDVmD0sjONXQTyHE+L6SWAOTv7DfmBbmeQSqpy2tqSri5pXFnMq5a4/\n5GWjTyZxxfM/8YS5oF5Tk81nPjPK6tVtWRm8lIkjh79jGZn9+hVsG954I79/9dlnmz+LwUF4663x\n8hnvfW+SwcEkM2a4x2bKfecqKa9y30EbBgVBJvJTF78+iLuAS4Av4vSB+CJO8tpd5RFLKBXlytBM\nJsmuxnt6Qtx0U6vnrqC52WnJuW1bC9u2tbB69YhnZ7TRUfem1HQM8ncEGRm8qp2C00a0sKmOVxtR\n23b7FbxyhsbG3L0VvORIJhW33NKSHXvLLS1F+jC4s669Nu2Tsf2XC789Rao1e1gYx+8O4g+Bt2ut\n30o//i/Lsn4M/AL4s7JIJpSMSseaDw35N+0o5Q4ZVcp71ey3impm/JlnjkdInXlmsmjVVb8RT0EI\nstI3KVwvJdzRMUpXVyR7bV1dyaK2/wx+quYGKWgXdLdR6e+mUBy/CuI1oAWnYF+GKCdfakOYIspR\nBfOee07kVO00h7hCsIlcKWhrS2UnurY274Y60ai7Z7PXjgCcPtPXX9+Wk23chNZmRRVkcm5ttdm+\nfdBXNddw2K0AvcxGQXJCYrEI69e3ZLPE169v4cCB0aL33W/VXChvQTtRDNWLXwXxIE5HuT3Ar4D5\nwCrgAcuyPpIZpLX+l9KLKFQruVEzxaqBRiJux7OXE7exkTyn7YwZtmf+wciI4oYbxncmN9zgvTMB\njO1FvVqONja6J2eviKeGhiS33tqeF/F04ECvcaxSzsSfUYBNTd5F9Zqbk7S0jI9tabFpbi6N2Wiy\nXeLa25soVo2iWspnC6XBr4L4i/Tvm3OOqfTxv8g5dnYphBIqi59mL0FMCUr5dzzH44oNG8ZXwhs2\ntHiGlwZJOgMn43n9+ji33eZM+uvXe2c8R6Mwf/64OWr+/CRRc+oGAwPuf6OBgQbjZxEKwZ13Nmev\n7847m3nwQbPpqqNjlAULwtlr6uryDhnt7BzlttuG8vo7VGpiFrNR/eC35eiCMsshVAnliEs3dW3z\n6uQWJLzUtt2r/GLFJx1TV5K77nIUTn+/t/2/v1/xzW82sXKloyC++c0mNm6Mc8YZ7rHhsDu/wsts\npBSsWjWSp6SKKbVEQvHSS842Z+5c78SG3t4IR47k95n4rd/y7sMQtHZTUEQx1Ad+o5iEU4Agdf+D\nRKA0Ntrs2DGePbxjh3eCWpDeETAeinrFFaPs3dtEsdScUMhJrnv66UaefrqRpibvhL22Npsrr0yw\nenUbq1e3ceWVCdravKOY/EZTRaNJWlpS2ezolpYU0ajZbJTbfGf//iZefrmR3l7z/ejra3B9bn19\n3uu/WCzCli3R7Ge3ZUtUspkFF757UgtCIX6rdiaTcOKEyo49cUJ5OnyHh919o4eHzZNtY6PbSe2l\neDJyHD+ev8qeP98sSDzujmJ69FGzKShIpnhHh2PHX7PGyY7evXvQc5WfO+mDozjPP99sZjJdd7HP\nAsZLpYBTCFAQChEFcYrgx6/Q2TnKQw/1ceKEY9KYNi1ZNJxx69aWbCnqrVtb2LfPXLUzkchvnTlr\nVsrTmdzcbLNpUzzP9OGVMzE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S6u0Ns3ZtO6eckuaUU9KsXdue75NLn3HgQIBly6Ikk8oVTJdOq7y3UUeHQ0eH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\nrkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for $0-50k\n", + "pos:MENTION_womenshealthmag (0.36) 19397785 (0.33) 25589776 (0.32) 16589495 (0.3) MENTION_nmnh (0.27) temptations (0.27) MENTION_thoughtcatalog (0.27) sext (0.26) MENTION_mental_floss (0.25) estimation (0.24)\n", + "neg:16312576 (-0.85) 14075928 (-0.59) 9300262 (-0.42) 28370738 (-0.4) 17454769 (-0.29) MENTION_anaheimducks (-0.28) MENTION_breakingnews (-0.28) MENTION_justinjbariso (-0.26) secret's (-0.24) 25087685 (-0.23)\n", + "Top Coefficients for $50-100k\n", + "pos:14075928 (0.31) 17919972 (0.26) 16312576 (0.19) MENTION_breakingnews (0.16) mattresses (0.14) MENTION_espn9999 (0.13) surviving (0.13) 28370738 (0.13) MENTION_tmz (0.12) 5988062 (0.12)\n", + "neg:19397785 (-0.29) 16589495 (-0.2) 34352940 (-0.14) sext (-0.13) estimation (-0.12) deviantart (-0.12) 14573745 (-0.12) MENTION_lkrauss9 (-0.12) MENTION_latoyajackson (-0.11) shmoney (-0.11)\n", + "Top Coefficients for $100-150k\n", + "pos:16312576 (0.31) 14075928 (0.17) 5988062 (0.15) 17454769 (0.15) 28370738 (0.14) landy (0.14) MENTION_justinjbariso (0.13) 9300262 (0.12) MENTION_vitalmtb (0.12) cay (0.12)\n", + "neg:temptations (-0.13) MENTION_mental_floss (-0.11) 25589776 (-0.11) MENTION_nmnh (-0.11) HASHTAG_nwhw (-0.11) MENTION_juxtapozmag (-0.1) 17919972 (-0.097) MENTION_womenshealthmag (-0.096) recluse (-0.096) undergraduates (-0.095)\n", + "Top Coefficients for $150k+\n", + "pos:16312576 (0.33) 9300262 (0.3) MENTION_coolmompicks (0.18) MENTION_adage (0.15) 4898091 (0.15) 3108351 (0.15) MENTION_uofmaryland (0.14) 28370738 (0.13) HASHTAG_gotheem (0.13) MENTION_richlowry (0.13)\n", + "neg:MENTION_womenshealthmag (-0.2) 25589776 (-0.14) hallmark (-0.13) MENTION_mental_floss (-0.12) MENTION_nmnh (-0.12) voces (-0.12) MENTION_repduckworth (-0.091) MENTION_georgelopez (-0.091) sext (-0.09) MENTION_iamjohnoliver (-0.087)\n", + "predicting ['Democrat', 'Republican'] for 957 brands\n", + "fitting on 765 training and 192 testing instances\n", + "fitting on 765 training and 192 testing instances\n", + "fitting on 766 training and 191 testing instances\n", + "fitting on 766 training and 191 testing instances\n", + "fitting on 766 training and 191 testing instances\n" + ] + }, + { + "data": { + "image/png": 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MbWoKMWVKAwcPWs+uw4fHaWxsSp67v+5/b0J9Mx2bkL27a8wX+f675RLGKysQQRjkNDRE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\nUovvNncPDHcXxA0bjhAOB5KNqDKNddp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eBSTqIPWwZ09PmoZVrGJ9Xvc+2xjKgTQuKj+5Oqn/hAlBjQN/ZqxPhK21nlW8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\nbcOGDcHkDnvDhiAPPBClrQ0aG8c6pjU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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Democrat\n", + "pos:MENTION_globalgrind (0.36) 2520748074 (0.35) HASHTAG_charlestonsyllabus (0.23) 268439864 (0.22) crankin (0.22) 6587402 (0.21) 17169320 (0.21) HASHTAG_breakfastclub (0.19) MENTION_kevinhart9real (0.19) 14934818 (0.18)\n", + "neg:14669951 (-0.27) “MENTION_entmagazine (-0.24) 7713202 (-0.23) 7402662 (-0.23) MENTION_thehill (-0.21) setters (-0.21) veranda (-0.19) “MENTION_politico (-0.17) milling (-0.16) 20447988 (-0.16)\n", + "Top Coefficients for Republican\n", + "pos:5988062 (0.49) 14669951 (0.3) 5693842 (0.24) 7713202 (0.24) MENTION_thehill (0.22) MENTION_southpark (0.21) 7402662 (0.21) 10774652 (0.21) 7597712 (0.2) regione (0.2)\n", + "neg:MENTION_theonion (-0.31) MENTION_eclecticbrotha (-0.22) 17169320 (-0.2) 16303106 (-0.17) 2520748074 (-0.17) festival's (-0.15) 20402945 (-0.15) badawi (-0.15) MENTION_timothypmurphy (-0.14) footnotes (-0.14)\n", + "predicting ['No College', 'College', 'Grad School'] for 1046 brands\n", + "fitting on 836 training and 210 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n", + "fitting on 837 training and 209 testing instances\n" + ] + }, + { + "data": { + "image/png": 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Eizrx61f9djt77RlnROFyKdoq3+VScOKJMa3cc3V1BEeOsLsMwjESqGGo+uf8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\nIeCiVy4nnMApsgSi9U7o6LBhyRIPYjF24ufh4Ox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rb8/68iRsmQcG4r5cBrf/oqkJZs/OFkxQs2dnCzkW8bhfecTjjomptTXrMzG5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\nHO/ICqLKTKcopem0QojKdPr+BGG8iIIQIlHOaSs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bNnXkZVw966xRY94lj8cdq3DsmBY6JvVHJcKyszPBsmWjeSlDOjtrXwNBEKpF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\nuDhDQ2511K5dMT7/+Xw31z17+giFEnR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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for No College\n", + "pos:25589776 (0.46) 17842366 (0.36) MENTION_womenshealthmag (0.3) MENTION_bankruptingam (0.29) MENTION_thoughtcatalog (0.29) 32625314 (0.26) giada (0.25) chow (0.24) geeez (0.24) 16810796 (0.23)\n", + "neg:16312576 (-0.89) 17471979 (-0.52) 3108351 (-0.37) 9300262 (-0.36) 28370738 (-0.36) 14934818 (-0.35) 4898091 (-0.34) 17454769 (-0.29) 16303106 (-0.28) HASHTAG_southwest (-0.28)\n", + "Top Coefficients for College\n", + "pos:5988062 (0.62) 14934818 (0.44) 16312576 (0.42) 17471979 (0.26) 1344951 (0.21) HASHTAG_turkeyday (0.19) MENTION_adweek (0.19) MENTION_jksports (0.17) HASHTAG_southwest (0.17) with.” (0.17)\n", + "neg:giada (-0.21) MENTION_theeconomist (-0.19) MENTION_trengriffin (-0.19) 25589776 (-0.19) 32625314 (-0.18) pedersen (-0.18) MENTION_mofakr_eng (-0.15) geeez (-0.15) 17842366 (-0.15) 19397785 (-0.15)\n", + "Top Coefficients for Grad School\n", + "pos:3108351 (0.54) 16312576 (0.45) 9300262 (0.41) 4898091 (0.34) 28370738 (0.29) MENTION_richlowry (0.25) 17471979 (0.25) 17454769 (0.25) MENTION_theeconomist (0.23) MENTION_uofmaryland (0.23)\n", + "neg:5988062 (-0.49) MENTION_womenshealthmag (-0.26) MENTION_bankruptingam (-0.24) 17842366 (-0.23) MENTION_colourlovers (-0.21) collared (-0.2) 25589776 (-0.2) 331057915 (-0.16) MENTION_thoughtcatalog (-0.15) convertibles (-0.14)\n", + "predicting ['No Kids', 'Has Kids'] for 1052 brands\n", + "fitting on 841 training and 211 testing instances\n", + "fitting on 841 training and 211 testing instances\n", + "fitting on 842 training and 210 testing instances\n", + "fitting on 842 training and 210 testing instances\n", + "fitting on 842 training and 210 testing instances\n" + ] + }, + { + "data": { + "image/png": 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mTQ1d5iwkQxSDE1EQgpBB7H6C+BLVyUptd/fYicd0lrB2KgQP+/bFlhm7d+dx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\nKueuXcWMG9ffIdeGDfutFU465e5up7aeHjO6vad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VlJaGKSuL34fz3puSIrLWr/cxZUqpdc2iouTQ31deSTbD9SQ9aWLqLRFWorDa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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for No Kids\n", + "pos:9300262 (0.3) 11348282 (0.25) MENTION_hotelchatter (0.23) flamingo (0.22) HASHTAG_pride9999 (0.22) alturas (0.21) 25087685 (0.21) MENTION_flarefashion (0.21) MENTION_fab (0.2) 8161232 (0.2)\n", + "neg:19397785 (-0.56) hijacking (-0.28) 17471979 (-0.27) peppa (-0.27) 361329018 (-0.27) 64565898 (-0.25) middle-school (-0.25) drifted (-0.24) MENTION_socialinnewyork (-0.24) idea… (-0.24)\n", + "Top Coefficients for Has Kids\n", + "pos:19397785 (0.56) hijacking (0.28) 17471979 (0.27) peppa (0.27) 361329018 (0.27) 64565898 (0.25) middle-school (0.25) drifted (0.24) MENTION_socialinnewyork (0.24) idea… (0.24)\n", + "neg:9300262 (-0.3) 11348282 (-0.25) MENTION_hotelchatter (-0.23) flamingo (-0.22) HASHTAG_pride9999 (-0.22) alturas (-0.21) 25087685 (-0.21) MENTION_flarefashion (-0.21) MENTION_fab (-0.2) 8161232 (-0.2)\n", + "predicting ['Caucasian', 'Hispanic', 'African American', 'Asian'] for 1035 brands\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n", + "fitting on 828 training and 207 testing instances\n" + ] + }, + { + "data": { + "image/png": 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ZtMeODXXbZ6O8PMTMmUE2bWolFLKZObOLq68u46qrynj33QIuuqiDc84Jct99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\nNGdprYPAYuBnwMvA97XWr2S2V4IgCEIi2WrOQmv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Jv/iWlvqrbMvLu5gyJZa2yFRNjT1uINp+hBiuJIEIn8yLprcapTsvvVTh6cVU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\nlJb6Yx8/vpOtWxuB1OqAQUs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1QU62uisfZuP12gh4IYbLUwlEKVUB/BKYr7VuVUqFX9Na20qpPgMXlFLVQHXU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\ncxUVS4hrMSml9gdO01rfD6C17tFa73E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M6Ch8+9tN3H+/XzW/555m3vjGyjuiofzkv/y0em9akmPDsfx3WOnaTR8BPuyc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\nfyYNaC4saYggAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Top Coefficients for Caucasian\n", + "pos:5988062 (0.67) 16312576 (0.45) MENTION_rollingstone (0.41) g'morning (0.3) 20012204 (0.3) 16877611 (0.3) MENTION_theseanhayes (0.29) 25087685 (0.23) 7713202 (0.22) MENTION_combat_jack (0.22)\n", + "neg:8320242 (-0.81) 9591442 (-0.7) 9051482 (-0.61) 11912362 (-0.59) 12266442 (-0.51) 8318902 (-0.43) 9695312 (-0.4) 8399972 (-0.38) 9402372 (-0.38) MENTION_blackgirlscode (-0.37)\n", + "Top Coefficients for Hispanic\n", + "pos:fucken (0.27) 14780915 (0.24) 24346793 (0.22) 6587402 (0.21) MENTION_lakersnation (0.19) 9695312 (0.17) 11912362 (0.16) 1428219750 (0.15) MENTION_nickswagypyoung (0.15) motivated (0.15)\n", + "neg:5988062 (-0.39) 16312576 (-0.26) 16877611 (-0.22) MENTION_rollingstone (-0.2) 25087685 (-0.18) MENTION_globalgrind (-0.13) MENTION_theseanhayes (-0.12) 20012204 (-0.12) MENTION_lilbibby (-0.12) HASHTAG_rivalrynight (-0.12)\n", + "Top Coefficients for African American\n", + "pos:9591442 (0.6) 9051482 (0.6) 8320242 (0.59) 12266442 (0.44) 11912362 (0.43) 16560657 (0.34) 9402372 (0.29) 15122826 (0.29) 8399972 (0.29) 8318902 (0.28)\n", + "neg:rachet (-0.22) 19397785 (-0.22) 16312576 (-0.21) 22179997 (-0.18) MENTION_combat_jack (-0.18) MENTION_rollingstone (-0.17) MENTION_peoplemag (-0.16) MENTION_yogottikom (-0.16) 25087685 (-0.15) MENTION_djbooth (-0.15)\n", + "Top Coefficients for Asian\n", + "pos:15492359 (0.13) 16242081 (0.12) 16324679 (0.12) waikiki (0.11) HASHTAG_letsgowarriors (0.11) weibo (0.1) 120178497 (0.097) gagnez (0.097) 21272440 (0.096) 20542450 (0.094)\n", + "neg:16877611 (-0.19) 5988062 (-0.17) g'morning (-0.089) 10876852 (-0.089) 16331010 (-0.087) MENTION_thesportsvines (-0.081) MENTION_drewtoothpaste (-0.074) 6587402 (-0.074) 22179997 (-0.071) 15566901 (-0.067)\n", + "average correlation= 0.771382913187\n" + ] + } + ], + "source": [ + "# Re-run after scaling X_both:\n", + "correlations_both2, category_results_both2 = do_cv(X_both2, outputs, all_feats, brand_ids, model_f=get_model_both)" + ] + }, + { + "cell_type": "code", + "execution_count": 690, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicting ['Male', 'Female'] for 1066 brands\n", + "predicting ['18-24', '25-34', '35-44', '45-54', '55-64', '65+'] for 1072 brands\n", + "predicting ['$0-50k', '$50-100k', '$100-150k', '$150k+'] for 1043 brands\n", + "predicting ['Democrat', 'Republican'] for 957 brands\n", + "predicting ['No College', 'College', 'Grad School'] for 1046 brands\n", + "predicting ['No Kids', 'Has Kids'] for 1052 brands\n", + "predicting ['Caucasian', 'Hispanic', 'African American', 'Asian'] for 1035 brands\n", + "average correlation= 0.616772561728\n", + "ridge/fol avg cor= 0.616772561728\n" + ] + } + ], + "source": [ + "# Repeat with ridge.\n", + "# Followers:\n", + "def get_model_ridge():\n", + " return Ridge(.1)\n", + " \n", + "_, _ = do_cv(X, outputs, fol_feats, brand_ids, model_f=get_model_ridge, verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 691, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicting ['Male', 'Female'] for 1066 brands\n", + "predicting ['18-24', '25-34', '35-44', '45-54', '55-64', '65+'] for 1072 brands\n", + "predicting ['$0-50k', '$50-100k', '$100-150k', '$150k+'] for 1043 brands\n", + "predicting ['Democrat', 'Republican'] for 957 brands\n", + "predicting ['No College', 'College', 'Grad School'] for 1046 brands\n", + "predicting ['No Kids', 'Has Kids'] for 1052 brands\n", + "predicting ['Caucasian', 'Hispanic', 'African American', 'Asian'] for 1035 brands\n", + "average correlation= 0.787670646642\n", + "ridge/text avg cor= 0.787670646642\n" + ] + } + ], + "source": [ + "# Repeat with ridge.\n", + "# Text\n", + "_, _ = do_cv(X_text, outputs, text_feats, brand_ids, model_f=get_model_ridge, verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 693, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predicting ['Male', 'Female'] for 1066 brands\n", + "predicting ['18-24', '25-34', '35-44', '45-54', '55-64', '65+'] for 1072 brands\n", + "predicting ['$0-50k', '$50-100k', '$100-150k', '$150k+'] for 1043 brands\n", + "predicting ['Democrat', 'Republican'] for 957 brands\n", + "predicting ['No College', 'College', 'Grad School'] for 1046 brands\n", + "predicting ['No Kids', 'Has Kids'] for 1052 brands\n", + "predicting ['Caucasian', 'Hispanic', 'African American', 'Asian'] for 1035 brands\n", + "average correlation= 0.781744714588\n", + "ridge/both avg cor= 0.781744714588\n" + ] + } + ], + "source": [ + "# Repeat with ridge.\n", + "# Both\n", + "_, _ = do_cv(X_both2, outputs, all_feats, brand_ids, model_f=get_model_ridge, verbose=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 694, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Friends:\n", + "predicting ['Male', 'Female'] for 1066 brands\n", + "predicting ['18-24', '25-34', '35-44', '45-54', '55-64', '65+'] for 1072 brands\n", + "predicting ['$0-50k', '$50-100k', '$100-150k', '$150k+'] for 1043 brands\n", + "predicting ['Democrat', 'Republican'] for 957 brands\n", + "predicting ['No College', 'College', 'Grad School'] for 1046 brands\n", + "predicting ['No Kids', 'Has Kids'] for 1052 brands\n", + "predicting ['Caucasian', 'Hispanic', 'African American', 'Asian'] for 1035 brands\n", + "average correlation= 0.723985351747\n", + "\n", + "Text:\n", + "predicting ['Male', 'Female'] for 1066 brands\n", + "predicting ['18-24', '25-34', '35-44', '45-54', '55-64', '65+'] for 1072 brands\n", + "predicting ['$0-50k', '$50-100k', '$100-150k', '$150k+'] for 1043 brands\n", + "predicting ['Democrat', 'Republican'] for 957 brands\n", + "predicting ['No College', 'College', 'Grad School'] for 1046 brands\n", + "predicting ['No Kids', 'Has Kids'] for 1052 brands\n", + "predicting ['Caucasian', 'Hispanic', 'African American', 'Asian'] for 1035 brands\n", + "average correlation= 0.776186232441\n", + "\n", + "Friends+Text:\n", + "predicting ['Male', 'Female'] for 1066 brands\n", + "predicting ['18-24', '25-34', '35-44', '45-54', '55-64', '65+'] for 1072 brands\n", + "predicting ['$0-50k', '$50-100k', '$100-150k', '$150k+'] for 1043 brands\n", + "predicting ['Democrat', 'Republican'] for 957 brands\n", + "predicting ['No College', 'College', 'Grad School'] for 1046 brands\n", + "predicting ['No Kids', 'Has Kids'] for 1052 brands\n", + "predicting ['Caucasian', 'Hispanic', 'African American', 'Asian'] for 1035 brands\n", + "average correlation= 0.76231400212\n" + ] + } + ], + "source": [ + "# Repeat with ElasticNet\n", + "def get_model_en_fol():\n", + " return ElasticNet(alpha=1e-5, l1_ratio=0.5)\n", + "\n", + "def get_model_en_text():\n", + " return ElasticNet(alpha=1e-2, l1_ratio=0.5)\n", + "\n", + "print '\\nFriends:'\n", + "_, _ = do_cv(X, outputs, fol_feats, brand_ids, model_f=get_model_en_fol, verbose=False)\n", + "print '\\nText:'\n", + "_, _ = do_cv(X_text, outputs, text_feats, brand_ids, model_f=get_model_en_text, verbose=False)\n", + "print '\\nFriends+Text:'\n", + "_, _ = do_cv(X_both2, outputs, all_feats, brand_ids, model_f=get_model_en_text, verbose=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "** Average correlation: **\n", + "\n", + "Links alone:\n", + "- Ridge: .617\n", + "- Elastic Net: .724\n", + "- Multi-task Elastic Net: .726\n", + "\n", + "Text alone:\n", + "- Ridge: .72...\n" + ] + }, + { + "cell_type": "code", + "execution_count": 714, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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ubm5wdHREfHw83nvvPVy7dg2hoaEAahd/mZmZmDJlCt8tWCgUqjym7AEr08Pu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\nxge28YFUlkN5z1WjQ2ptr9frZ//+EC0tHUiSnaYm0ZE1Ny/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QiMZGsfCrqalhyZJxa+Jc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QAGg4NE4jAmk41w+MMMDrq5/PJ4ai22ctFFMZxON7Nnz+b119uJRqOsX9/Nrl0qc+aEsFgM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kysbV6NGj4eXlBalUinPnzmHkyJGws7NDbGwsnj9/jiZNmgAAHB0dkZ+fj4SEhJo6FGJi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\nG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UcPPzwVu93e0tteTzAYpKkJ3nhDx9ixUS6/PNLufjtDe+O0Rq/X93px41SOuX79+vjr\n9lp693cS55Xq6mrq60V4tKjVUocwYIgFvk6nAxRARWZmEKtVzfDh/8qYMX8nJ8dLXl5JfL8x72Fi\n8U45fyXTeu1ht9uTigwOFdqbg5xOJydOqPn441JuvbUBgyGbn/5Uh6JE8XpDBAIKxcUhRoyIMm6c\nkerqTIJBP06nmkjEQ0WFFp0uSGHhKUKhLMzmfKZNa0KvN7cpupwYEbloUWmSwU20CxYPMB15QNuf\n1yXppLs6xOFwsmuXjs8+G8EFF9ix2xWGDUteMyXel+3dj9/4hhO9XsfkyZOZ3BI0VV1dTSQiotY8\nHg/bt58iGg1RWmrAYslsSQeob/f4E19LHdk3tKeDEtPaVqwIEAhEW7oWNQFBFEUFmFGrzSiKwqRJ\netzuXByOBlQqH6HQVKJRAzNnhhk+fCQXXTSe/PyPCIUgHA4RCjXjchlQFFCp6oEQWu1YVCoRyZud\n3UAkEmHSJBs6nR693ojBYI4fb2sZOVOaOnTteXOgM6iNGIm0J7gVFVrOPz/IxRdrcLs7fsg7k9Uu\nVmRPoGvTBaK7SMU28AkEAgQCAX760ypA5KB7vT4aGsIEg2oURQfYOHXqOBqNheZmB4pSDnwHAK/3\nS0Ql40bUajNGo4lJk1RYLCZWrz4MVGMwGLBas1MWti0jNc7O2rVr2bZtG0uWLCEvLy++PXbOXC4X\nOTk58e3tLYjbewju7oQTu2axaB+xQBctAT0eD8FgkEAgQE1NTbytqsVioaFBzxtvZDBjhocZM4L0\nZL6LjRN73Z4HoC8m1VSNabVaueGGG1JwRP0Dt9vdEm0Bhw4dAsYBemA7MKzFiKEDNOj1WUQiw9i/\n/wQnT9ppaLDzox/5KS0VRotf/OIzdDo9Dz44tU2KgKTjdYU8R+LcPPpoJUeORMjOrmLnzhB2OxQU\nBFGpVIwblw00c/hwNk1NJkwmFVOnagkG1ezaBdGon0CgiUAgxJEjGbhcQu/o9ba45zxW+6y6uhog\n7iWPvRd7mBStMzufZtfTmmmDhY0bN/LKK68wZ84cysrK4tt7o0tXRzidTlas2Ed9vZrFi0uw2UQB\nqc6kXyauge6/fwoWiyXJCSoQc53X6+XkSQ+KEqG0NIrBIOb9WP2MM3E2D7pci/UuWVmiq015uY9I\nJMiKFeUYDBbGjvVhMtkoLS3l/POPEgqFcLnsOJ1+Ro7MIRyGhgY9ajXk5eWQnS1kQKXSo1JZMJlM\nBAJRHI4QKpWBWbMs5OQUotfnYjabsVj0NDWZURQjitKE1Toy3v5cOMY7jrBu3UlpKMrKoDZixCzl\nbRWQ4GtfC7bZ1prWii5GbJ+ni+xZ4mGKQ1GQJO0RwuHYx4cfWohG3RgMCmq1nmj0JGq1ETgFQDSq\nQlHCKIoaSJQdDeBCp2vk8svHkJVlp6xsBG63m6VLfUQizUyc6GrprnP28MOzRfjISI2zs2bNGrZv\n386SJUvaFOXLy8sjKyuLXbt2MXbsWACCwSB79+7llltu6dG4rRc0rUOaAwEPgUCA3bubmTYtM/5e\nVlYWZWUjWLXqAKtXH6esTEyMXq+e/PxzuPZaNRMmhLs8fmtk9Fj/x+l08otffAbAhRc2EQoJ/XPy\n5ElErYsIMA0opLHxb4h0kihut4JGE2HGjAbefFODooTYsKGBnBwNN9+cx86dnjZtyiWS9ojpoxhO\npwuvV8348X68Xi8+nxYwMXnycXQ6IzU1uQSDp3A4XPj9KkKhDCwWM15vIydPmgmHG4lGjUCYwkIV\nublw88123nmnbeXG1u3JWxuTsrKyeP558dmOWgJLPZdMZWUl7733HqNGjUra3htdujpDXl4Um03p\nUuploodbFOTX8/3ve+KR1nPmRNBqhfHKbDYzYkSYSCSMxSIMZ6Lwp6if0VWdGPOgV1dXy7VYmjjT\nPWyz2ZgwQSEYFHUxAoEAe/a40emi7Nu3j08+UfD7vShKFL1ezezZGfh8UFMjolgbG4+g15uoq/NT\nV6cmGtVSWChSkbRaHyqVmbvuKmXWrFnxjpUajYarrmogGPRitRZiMBgSoqzbr6UY06OJqUtDlUFt\nxGhdOOdsD3Disx1/pnXKCCQX2YtNfIPBgjoYfkNfEwhEASMGQ4Bo1ItKNQy1Wkdu7gFCoQA+3wTA\nTzAoCpOp1cOAAqLRrYAKrbaYSCTAJZcUsXTphQCsWnWAQMDLlCmi+nUw6CQY9Hf6mOT17D4vvPAC\n//znP3nooYcwmUzxe8RoNGI0GlGpVHzzm99k48aNFBYWMmLECP7617+SkZHBpZde2u1x2zOkJvay\nF8XIAHREInXxiIgYNttprySA16vi6FE1P/pRMxMm6Lo8/pkMGZL+i8jvFWHOU6dGEekiUFhYCKgR\nud9OwITf7weEjjEYPiYnx8wFF3yNl19uoq6ujl/+0s2hQ05uvjmPmTPt6PW6Lqe3DRX66sF348aN\n7Nixg9raWnQ6HRMmTOCmm25qk2LRmx5zp9PJ6tXHkwooPvCAiczMYUAxev0O/P5TfPJJPooSJjvb\nh16fidl8AkUxthRRzkCvL8RoPEYk0kxzcwFgZvToExQW5jN58mQKC0Uhz/bOd2tHU+Japz3jhcPh\nwOPxyAiaVvh8Pn7/+99z9913s2HDhvj23ujSdTY6c8919b6MzbOTJ5/Hyy+LFMWpU6eSn78HIOm+\nmjnzdIvMrhBLzZOkl46ut8vlammPq+Lee+0cOHCADRv0QIgvvvgCj2cY0agWCBMKaWlqakKlCrdE\nVcPu3Q3s3VvPVVcNw2AIAhr+8z+zMZvNLF9+CAhSWipkLmYgu+eeMSxZclm7x9eRfMb0KMji2YPa\niJFIKNSx8aKxsZFf/aqcQMDD/fdPSZrIWufKBQIH2n0v0UM60C2og+E39CVVVVXU1NTw+ee1RCJh\nLrxQi043jPr6Go4fP86hQzOAGqAYUThqN5CJWm1GpdISjU4FFKJRAyqVAZ1OGCmampriDyErVowB\n4MEHfWg0/pR4QaWX6cxs2rQJgOXLlydtnzdvHtdffz0A1113HcFgkBdffBGPx0NJSQmPPvpoj71P\nIjczmUDAw7p1AUDHggXFNDU1cf/9TvbvT2652/q6/sd/gE5noaAgs80+JYObSEQskBsbHYgiY1BT\n8wUiEiOKMGYoRCIRREFPUKlMcc/j6YW6eEjMzMxk8eKiHhcRG+xG8774XRUVFcyZM4fx48cTjUZZ\nv349y5cv5+mnn8ZiEUbNdHvMz3ZdYzrMYPBRVjaCH/94FtFolJtvfhuAX/5yBh6Ph/vu8wBhrrvO\nxvvvGzAYDLz4ouj0sGbNfkKhEHb7FAwGcytnky0p5731sZxtreN0OnnmmcMEg0G5FmrFs88+y8UX\nX8zkyZNRlNNFoVPdpaszuqG+Xg2IyIsYnblWHaV0xF6XlRH3lov0OsHUqVPjx5ZYxDO2v1h7167I\nS+vCnonHMdj1Y/9CzGOZmZkMHz4crbYRlQomTJhAYWEdHo8Dh0MNRKiqGoFOZ8dkchKN6ggG7UQi\nQhZzc3VEoyE2b1ah16s4//wCDAZzu4atnjiGhrIBAwa5EWPRolKiUSgvz6O6WsONNzaTWF8vpjSa\nm5vZseMgjY0ZQCVLlrQtkhL7fKIiS3xPMvRob2KJ9Z/3+32cPNmEWp3BtGn5OJ2H+N//zUT0kt6H\nyD/3Ix4chgNmwmEnEEat1qJWG1AUN9FolFDIz5NPfkkw6CIS0aLRaMjMzMRmszFzpiOlXlApzx3z\n6quvdupz8+bNY968eSkb1+Vy8fnnR1tel2Cz2eIh2StWiOKgses/bVpWq3BEQaIOO+0B0HRqgSSN\nW4MHjUZEV/j9dQgdREv7yQDCaDESsLYYMcTi3GgcQSQSibdODQQCTJtmiC/IelpErKtGc7mg7xw/\n+clPkv5euHAh8+fPp7KykpkzZ6bdY95e8TmrNdkpFDM4BAIennxyB8Ggj3/7t+GcOiUMKLGivH5/\nrEYLxFpdTp48jaysLAoLC2lqamLdutMdoE5Hp51Gykvq2Lx5M/X19dx3331AcuHqVHbpOptuUBT4\n7DMdO3YYuPpqf5IRo7t6InGuXLXqADqdnh/+cFSX6t2lQtYGk2N0oGCz2Zg2zRx/DZCfvx+1WsXw\n4cMJh/cQCh0GpiLSxV1otTaysnSo1RlEIs1otWGGDx+OXu8nGPSxe7cTvb6ZFSvOoaioKCnKorvG\nf7kmO82gNmLo9XbefttIJALf+Y4fl6t9pWY0GpgyxcTevdqzKqqzvT8YhGug/4aKigr+9re/cfjw\nYRwOBwsWLOCKK65I+kxPQ2gT88sXLz4v6TxFIj7U6jAXXqjDbLZx7rm1bNv2OTAT0QFgAiL/3I3w\nfOqAJqAQUFFcvI/Ro6eyf78DlysIFPD++yIC6GtfG0V2dk784WHx4mlDppXSUKWpqYkTJ8TCfd++\nfbzxRiPBoI9584rYvdtLMNjIjh1a3n/fiMdTy7x5E7qdA9yRVX8g6gFJMjabjREjElPPhNFBpB9V\nAbUIHeXAZDIh0knCeDxGgkENbrebQEBEZ5SVjSEzM7PX5UIu6LtPc3MziqK0pGSk3mPeEYFAgBUr\nyjl1ysb/+T/n8e//fvrhLFYcs6Kigh/+0IHbreOzz77C49GjUpmoq6ujtLSUkSMrAcjPzwdOd36I\nPWgGAoH42qypqakllfPsnG2tk5WVxcMPT01KJxnq1NbW8sorr7Bs2TLUauF1TozEOBPtdfI6U6eu\ncDiMXi+MrRaLJd5ZSxhN4a23tASDKu68M4TdnhHfR2e6ZXVEzNASiUTYtcuHStXM/fdbeOyx8wCS\n9mW1WnnssdOpmuFwuEtjJRLbl16vj9+jsX22PgeppDsdvAZ6p65EEgujNzU1xfWIosCJE26czlOA\nio8++oi6ugJgGNAA5BMIfEI4PAqwolIFiEa1aLVCxi+4IA+3G8rLVYCmzXzZU+O/1EeCQf3k8+c/\nm5g4McSllwZpauq4rY7FYsHjmYTL5TpjaE5nH+7TIVy97X0ayDdIIBCguLiYyy+/nGeeeabNxJmK\nEFqXy8XOnZ7460SP9sSJGQSDQSyWHGprD7B0qQGYDngR3k8twnDhBszAjpa92gAVJpMfmy2LadMi\n7N0bQqXy0dxsRKXScP31ZmbNmpaUKhArBBX7WzI4iMmT2+3G7zegKCH++Me97NwJ4bCGL744gk7n\npa7OyGOPHUajaeL48Tz27z/GSy9VUVxczIEDGtRqBxqNI67b2quA3rr1oJSjwYXT6eQf//gHW7Yc\nAcBqrQZESprH42l5Heu0E+vQIBbnRuORFi+6lUDASTDoZfXqKAaDg8WLex7KOtCN5gOFNWvWMHr0\naEpKRHvcVHrM2yN2XQ8fruauu5xEo43813/VA6PaGE+tVit2uwa3W8Hn02E2u1CrQ+Tnn4/NZuOS\nS8bGjw1OH1viPPyf/6nljTdc/PGP9ezdq0ej0XYqzfJs79vtdukkSKCyshK3282DDz4Y3xaNRvnq\nq6/YtGkTTz31FNC5Ll1w5k5dWq2We+4ZE3/tdruxWq3s2uXj3XeNTJ3q5eKLg6jVJHXX6ky3rNY4\nnc6kVKSyshFMn25Dr9eh0Wji+2j90BmbR3/xi92ASCXprh7TarWYzeakMdo7B6mkqw/Sg6lTV0wP\nNTU18tlnJwEoLc3AYrGzZYuBfftC+HzCQCe6eGUjCu57gQaMxlI0GhNqdTOKEiQUshGJiPlz8eLz\n4h3joK2eraqqwmKxJN0jkq4zqDXz17/uZ/z4yBk/E3sI1Gq13cqhi5FOI4P0PnWNGTNmMGPGDABW\nrlyZ9F6qQmhFKoc9/vq0MjxBebmYPKdMcdHYeAiYjHgwqEV0HzmAMF4YEWHcsc4APsDEyZNampuP\nMX58HqGQC0UJU1hoRKPRUlqafP1jNV1+9zsRqRGTDxlyPbBJvOfnzAGzWU0kEqSmxko0GkRRGjl5\n0s7dd4dYtSqL+nqYMcODy5WLRqNBUWDHDj1bt3rZt28HX311khkzzO0WkIr1R48t3jpzbLHvSvo/\nMVn66qsvidXBqKh4BxA68tSpU4gQfQ9QQCxsX6NxoCg+9PpCVCojbreb8vIQwWCESOQger0Nl6s4\npaHTnfmcNHh0nZdeeonKykqWLVvWrje8NZ35TGeIRu1s22Zi9OhaRoyIMHx4JlVVVfEaP4nG0yVL\ninj55UpsthH4fMLjHgu/jtX8EYTi+4/Nw4FAgDfecPLhhyFyclRMmRLFarXIYrNpYNasWYwfPz7+\nt6IorFy5kvz8fObOnUt+fj5ZWanr0tXefR6NiujqwsL21/dd1RMxHSlao4rOFDabrcNI19ZzoDCm\nOeKvz3Ts3WGo6LreiKJuD4/HQ3V1CEWJEA6HCYWM5OfvpaCggmg0C1C1dKOrA/xYrWZ0ujBmcw4a\njZ4JE0RE0t69IdTqKIWFhXFH+eLFbdswx9LONRo1f/zjtA67IUnOzqA2YiQaMNK5+Em3kcHlchEI\neJI6DEi6R6pCaGOpHLHXp1teaolE3IAKrzeKWm1GeI48QC6iBsYYIKNlW0b8e3AMlSqA1zuR5mYd\nzc2HOHFiOC6XlpkzG8jKGpm0KIvJnaJECQZ9cfmQRq/BRWFhIc89JybaRx89iKL4gSb0eh92ezEa\nzQkAbLYSZs/WsXBhCZ99Npzq6houvvgEr79+iqNHg4CP6upq1q2rR6fT8+CDU+MTbayIGbRt49qV\nQniS/ovNVoBaHQBEZwEQchMKxR4KbYgiw8MpKirC6cwlEPDi9YLfLwqCzpxpx+3Wsnu3k0jk7C3K\n04GUua6xdu1atm3bxpIlS8jLy4tvT3wA64zH/Exh/+3R2Aivv67j4osbqKsTtVgcDgd33/0lACtX\nnkNm5nj++Mej+P0ePvrISl7eOdx66zBeekl4RSORCI2NjbzwwlG2bq1j4kQTFosBg8GCxWLBbrfz\n059acLlcrFhRQX5+A+eea+fhh6dis9m6HdqfSHfC7dNFV44lXSH/JpOpJd3sNAaDAYvFEn+YTEeX\nrkTO5pyE7ukJg8FAWVlxUkR260iF9uZAYUw7vT7vaI6UDoAz0xtR1InEngurq03s3buVYLAZs7kA\ns9nH22/vJBh0k5GhRaPRctVVV/Hllx/T2FhLZeUsIEJGxkmMxpGYzUJ/Go2RliKwyWN0FikfXWdQ\nGzFaMxAF43QrHR1lZSMG5G/oT6QyhLZ1fltZ2QhqaiJ8/rkLv9/Ptm11hMMnEdEXIKIxgghPpw5h\n3DAAR4EoavUk1Go1itKAouSgKF40Gj+ZmUZqarI5edLU7gLTYDBy++0F8Yn3tEFFMlBJjJBYsaKc\nYDDIVVcp1NTUAJnASCKRZv7wh100N08FouzZU43ZXMymTRn87/9+QmOjk6oqHRMmQCSiMGOG8MLv\n3OlBo1EnpUG1rugPHS/EJAOLmCw999wHvP22WIwLXTc84VNqhG7KAXLQ608hdJIKuz2KXi+MaYsX\n26iurub++zvf1lnSd6xZs4bt27ezZMmSFk/iafLy8rrkMT9T2H976HRw7bVqtNom1GoRYu3xeIhE\nRL0KtVpNTk4O99yjiYddf/GFi2DQyRdfiNorP/2pMM43Nh7m0KEgNTUO/uVfhmM0ZsbTBLRaLTk5\nOTz44NQ2KcGpCL3vSd56qunssfR2yH/rh810denqCl15IOzIyRlreXq2dBTh1DovYUvbqEbpADg7\nvRFF3ZrYdZg5cyxffaUwbJgbnc7HgQNaIhENmZlaMjKE3NbXj8Tvz8RkOoFKpWfy5HzMZmvcsDhj\nRrTdwuqtKS4u5vnnSUonkfLRPYaUESNd9EaIa2duDEnP6GrRqUQcDgd//vMpXC4XGo0OjSaK1+tD\nUeyAgrjVvIiUkQxEZ5KDiLoYk4EQWq0bnS4LtRpUqjBarR2j0c0556jJySnFaDRQWFgYH7+jQlCJ\nxaZS4YnqCX3hxRosRaeysrKorq5m06ZTeL0h9u7dCpQAdsBLKHQcr1eHyNFUcDpDuN1NWK1OiovD\nnDoFoMNiMXL++Ubuv1+chylTdFit9qQ0KFHNX9evClTfFjQAACAASURBVBdLr0TqcLlcHDt2DBgF\n0NJ9JBEtQo5MQAY1NTXU1ExEUeDKK82MGDEm6eHwgguEwVfOSf2XF154gX/+85889NBDmEym+P1k\nNBoxGo2oVKq0esxVKsjNjQLJOqOlZEI8hDoWCbZgAaxaFSIa1RCJHAMgGMzEYIArrtDy7rsu/H4V\n111nYtastov82H4kvc+SJUvabEtFly6vV0VdnbpTkReJdOeBsPVnWrc8TaxD1t4cmPi6ozmyva45\nks6R7kLEWVmZlJY2smuXD9AwfbqHUChEebmNQEDDiRMnaGiIEI2qOOecXDIytOj1NkDHzTfnxTsG\nin2dPfqmuLi4XxlIByp9ZsTYuHEjO3bsoLa2Fp1Ox4QJE7jpppsS+tAL0pH/lA7SNXnKHODU0tUQ\n2s54n2Ke7GAwiFqtx2DYi8dzDEUZhjBaKIAVOIWogwHigSFW2NOIiMzYj1oNOTnDUas1RKMmtFo1\nmZl27rlHPES0LuzUXiGo2Pb2jrW36W0lPViKTsVkCsBsDuFwODh0KIQwhGkBFZFINjqdk0hkD2PH\n+jh4cAaRSJSpU4PceON58WKv69adruYfi+q67bYRSVE7BoOlTXeSjvROb+gh6ZVIHVVVVZSVbeXo\n0QPAOUDMiFGV8CktQkd9ARgZNmwY4TCAim98Q8ellxYnLeITU+kk/ZNNmzYBsHz58qTt8+bN4/rr\nrwd632PudDp57TXRureoyJkkP8XFxSxebMPhcLBjR3WLjDYRCETYtMmNSmXCZNLFay60fjiQRs/B\nxcGDGjZtMjJ9eqjLRozWVFUJXZeq2gPdlzHd2T8iaZd0FiKOPWdVVFTw/vsniET8BIMRNBobFksN\nGRk5DB8+htzcg/j9PvbuzSIaDRAOV7e0LfeRmzuKRYtsbQwYnV3HyGe97tFnRoyKigrmzJnD+PHj\niUajrF+/nuXLl/P0009jsQgvcqrzn/oLXZ1spUCnjq6G0J6NRCV1ySUuPvjgA3btsiJSRSYBYUTu\nuRk4iTBYjENMZiUIz+geVCoDOTlFmExZ/OIXE7Baraxb5yAQCHD//SWy8M8QIlbpfOvWwxQVNeF0\nfgCcRzA4A9jb8qkcQE9Tkx8YRUODBr1e6BXRbUIYLwIBL8FgNN6iLRAIUF7uY/XqYzz4oP2ME6d8\nOBgcNDU1UVvrxOczIQyqopsAJOqUWPizF3BisViwWFREo7BlS5g9e6qSOpFIWej/vPrqq536XCo8\n5tXVGuAUVqvSoUcb4PrrTW3qeyXql6ysLCKRSMuDQQS9XqzzjhwxYzL5uOSSzJZ6LcndTYCEdDhp\n9BzovPeegYMHtXz7235Gjuy6ASNxXnO5XNxxxxcAPP985w0ZsX10tYX9mR5czxbpKOkePSlEHDNw\nxYwj0WgT0egJnM5S1GqwWsOo1VqsViszZtjweILs36/B5wtQUxNApYri9WrJze3575B6q+v0mRHj\nJz/5SdLfCxcuZP78+VRWVjJz5sy05T/1NV31MMoHiK7j9/s5flwsaBRF4eTJkxw5cgSLxUJubm7K\nQ2gDAQ+NjY3cc88hmptj7QpFlWtRyDOMeDgoRdTAOISokzEKtdpCbq4anS4XrVZBrVZTWFjY4pU6\nfe2l12loEIvAOHHiOIcOeTl4sBq4BKGqa4DRCEPYiZZvFAB2GhoayMgwEwiYefzxQzz9tIVPP60n\nGGxEo8lDrxeT/IIFxaxaFcJoPP0QcSYZ6quICOmVSB1ut5vmZj1QCCTWyxEFyNRqNdFoDsLAEQQK\nCQbLGTEii1DIz/79UFXl6FS7yr5C6sO+QVHg8891fPCBj5qafZjNSod6IhDwsG5dgMT6Xh0VSbzg\ngmGA0FcAK1ZUEgx6+fGPZyTNh7HuJmKuPXs6nGRg0Nys4gc/8NJZX2V7939i1G13ycrKSlk0qZzT\nekYqCxG73eByqQiHD3PXXbuJRMKMG+cmGGwGzKjVo8jObkajySAYtBIK0WLYt2Ox2Fm4MJMDBw7w\n0EOiY9K///sILrhgfJtMgjOldjscDrxeb9rSrdOVyp3OFPHupIL3m5oYzc3NKIoSz+1Pd/7TQECG\nVHePgwcPsmzZsvjfGzZsYMOGDVx++eXcfffdKQuhPR3yr6O2th6fT4t4qHQhHhBOEvN8CiOGGXHL\niVaqYEFRdGi1wzAai1Crfej1mTQ1NeF0OpMMFolyAMlFF/tL5XRJzxARGJ8RCAQ4cWIbihLmtBHM\niKiFcQoYiegkcQLRtzwMNKPXe2luVnH8uJbDhw8jmk5YmDLFjNVqjaeKLF5s67J3qS+Q+i51KIoH\nER0mvE1GoxG/X3ighg0bxokTMd0nDK8XXnghJlNeS8vBMAaDud/Wv5DzZN/x7rtGjh9XM3euj9Wr\nlXY/k1ikOBYt0ZEsOZ0iCqh15y+DQY3BYE3KOU/ep6FNOpxk4PKtb/nprHP9bPd/rIhi7HWqaW1A\n6Ux0o6TrpKIQcXV1NSdPqnnrrQxmzAgyerQoNOz3+9m8eQ+KEkSlmoJarWXKFB2hUIgtW0yoVFH2\n79+Px6MiGAzyP/8TBIZx2WXCuLVli4lt2w6waJGmzTVuL7W7o3orqSRdqdzp3G93UsH7zSp2zZo1\njB49mpKSEiC9+U+pJhVVkCWpY8qUKWcNpe1pCG1iQcRTp5rweLwIw4QB+ARR7d+G8HyejzBmHG/5\nvwRh0PgKKKa0dBgjRxZy883CUityhvclTciyINTgx+Vy8emnTnw+D9XV2cAwxIPnx8DXELIVQBgy\nmlveG4morXIctXoSoEavr+f//T8TjY1qhg0zcNddoygqKkpaZFmt1njNDJmnObjxeDyEw7HiwuIa\ninoDwtstUkuELOTlVVFUlMu3vvU9vvWt5P3I6y9pTSAA3/ueD73edkY9EUsViXU+SoymiKWDAB0u\n7A0GC4GAJ8nr2t4+JYODHmQHtEu60nE7MqBIWewe6Y6ifuSRnRw+7KewUM/x43oWL57GU0+N5R//\n+Ae//OUkIIha3YBWa2fevFF4vV7ee68BEMeye7eeSCTMjBkqDAYdZrOI/HK73S0Gf0lv0y+MGC+9\n9BKVlZUsW7asU7lN3c1/SkfIaSqqIJ/pc/IBon/jdrv56KMT+P0R4DAQQRgpaoEJCM/mSYSBw4Yw\nbkQRxoxqzOZc7r57FpMnT05Y2O1rZ6TTBaGkXAxe3O7j+HwOFCWIkB0FkQYQQnS0URAtVmMRGkFA\nj9XqIxjUAz5MJg+HD0eIRh1MmJBNZmZmm3EcDkeXCk5JBi4Ohxqhf7IREWJqQqEQQheJhaMwaESp\nrx+P05lNRUUFs2fP7qtD7hJSH/Yd3/nOaY95V9Y+7XVFuv76JgKBQLx+T+J3yspGsGpVFatXH29T\nPE9e86GNvP8HD+mOot6xw4PReJL9+00cOaKnurqadescnDiRg07nQ1G0GAzNaLXZ5Ofnk5mZyejR\n/0CjUTNmzBigCo0G5s0TcrZ0qYlgMEAwWIFen43LVdIlZ/ZAiIjt7/T52Vu7di3btm1jyZIl5OXl\nxbenMv8JxKL9mWcOA/Dww1OT8pN6kuMTDofR6/X4/R4ikcgZ99Odcbr6+d5oaZmqMQZqK8xYqscl\nl7ioqjrJe++piET8CKOFAtS1fFIDqBCecz2wG7Ag0gIiGI1XotFY8HhOe5g6mpBb5/rKyXrw8dFH\nH1FTEwv7z0BEXUQR6Ue5La8bEV0kMgA1+fmf4/XmMnnyVHbtcgMafL58DIZa1OqRqFSZrFp1AIPB\nIkPthyjbthkRkTtehDE05gQQ0V0mkwm32wgoqFSgUgmD6UCqMzEQjnEw0pWQf+j4OgUCAdatE/J4\n112j2nzOZrPJeheSJBI7jvTV/d8ZA8pA0qN9TbqjqC+/PKuluLkfEE7InTsdRCJGZs06hE5nRK+f\niFari7dMXbnyPCwWC3a7nQsuCLfU9nEAIaZMMeP1Rvn4YztqdQZNTU1txuzo+qey3spQpk+NGGvW\nrGH79u0sWbKEgoKCpPdSkf+UKBwej4dgMBh/nWj96okgabVavv/9bFatcvO737WfE5WKcTrLQBlj\noLfC3Lp1K3feWUk06kNRFKLRmGfTDQxHPHRWIlIAYlbicwELWm0NGo0NjUZNNBpg6dJKMjIaWb26\n/QlZehqGBm+/DSKy4giQh0gVMSFC/V0Io4YREdmjBUzU1Y0FxrBz514ikXEIeXMxadIwqqszMZst\nbcYBUWRKytTQwGzeBjQBBwBRa0Cr1RIO58ZfC+MY3HorfOtbE5g8ebKsMyFJCe1FqybOaUC8tkVH\naZNyDpQkUlVV1a2OI+mgPxbGlrTP449Pw+VysWrVAQAKCwuZObMZt9tNeXkBkUgIjUaDRqPiySc/\nR6/XYzBYsFrD3HOPncWLp1FRUcGddx4E4Lnn8igsLGHFikqANoU95fVPP31mxHjhhRf45z//yUMP\nPYTJZIpbq4xGI0ajEZVKldIuEum0mEovwdAiKyuL8vJyQiE14qGyEfGwWYHwbs5EPIzG5CiE8H56\nABWRiBGwYbPtR6024HJNxO1W2rXiJo4pGdycPHkUYQArRRjEQi3/shDGsSpEtE8GwqjhRKvNIhwO\nEQyCyRQkGAxzySV5LF0qdGRiTSFZZGxoYrMpQBEiGswHaLBarTgcwhtlt9upqTEBMHp0NrNnz47P\nhRJJV+nsOqp1SkhZGaxaVcUf/3iUe+5p6wyS+krSG8jIicFLrFPN4sXnAcQLnVdXV/Mf/xFEpYow\nZYoChCkvVwA3M2bo2kSeK4qof2G1WikuLub++4nvT9K79JkRY9OmTQAsX748afu8efO4/vrrAVLW\nRSJGTyymZ1Js0kswtKiqqmLfvn1AzPrfjHjYnNzy93ZEvYJLEQ+fViCKThdBrdYQCGgJh4N4vSPR\nas1ceGEGWVn2NlZcydDiq6+OItKNjgFTEeH/jYj0ozxElEU1MBEAo7ERRfEQDmuAEUyaFCA7O5ul\nSy/tU8+UpH8hUidVCDmqAKwt0Rc+AM4//3z27RN5AcXFxfF0OTmnSbpKrMMSiAeFM6VItkY6gySd\nJR0dR2Ld5mIddFLhOZd6tH8Ri95ZunQYhYWFcf0kjBvNqNVw880TAHj44d0AzJtnprR0FEBLHZ8w\nV1xhQ683U1RUhNPpjMtMWRlJHZLk9U8/fWbEOFveU4yedpFIBZ0JCZICOnS4444vaGjIRURb+BBh\n/4GW1zpgBKc7k0QBEZ6m0xkBDWazFZVKT24uGI3ZPPBASVL3CMlQRYuQl4yWfxFE6kh2y+tYd5Ig\nkMOoUVs4dOgbQB4aTZD6ejVeb/9sgynpO0wmE6IT0ifANwBaKqmfBGD48CK+8Y08QiEf779v5OOP\n98nQV0mnSXTwuFwudu4UKSGtO4mcDVnsTtIVUmmob6/QbKqQerR/EQw28F//FUCvP8nzzwujQ1NT\nExqNiUgkzIYNToLBIKdO6QAN69ZVUVCQwfe/nw2I+nQLFsyKR7nGojsCAQ+rVlVhMBhkp5peRM4U\nLUiLmaRreBCGCi/igdON8KKHEaklFkQOeg7nnXcCo9HMnj0iB33mTA9ZWdncfHMxVquVqVOn9skv\nkPQvTKZKPJ6pwHhENEYGIg2gASFnDYgoDCvQxJEjF3DRRXaOHIHx420cP65GoxGV/WVIrCSZHESd\nHrEQ0+l0iLQlyMhQyMnJIRDoXoSjZOjS2sFjs9mYOVMUTU9MZessstidpC8xGCyUlY1I8qZLBg/P\nP38uNTU1LF0qDPhNTU2sWlVFIOBh4kQdiQasYcPMiJb1Yl602WxtWkTHdF+sTXQsIkPSe0gjRgId\nKS1p4JAk8sgj4/n977/ixAkjol5BEyKlxIQI2w4DMHasn/x8M2PHziYQ8FJTIxZmeXmFGAxm3nwz\njMHgo6jIKeVKgsczDZEuEqt9kYdoq9qAePjci2jf2wz4MRjyue++6RQWFmKz2eIeAZvNJotJSeJU\nVFQAYxDpJM2AqD2l1UYBKC4ezbFjFrmAl/QYkWM+Lf5aIukPnM2o31trfOlc6FuKi4tbUpGq4tt2\n7jxEJOJj4sRMrFYrCxYUt1lPxaLDOqoVFZszE40ckt5BGjE6iRRKSYzf/jaAShXr+qBFtFIF4SGP\ntVQNEwyW4HSO4+abRevgzz/fCUBZ2RgyMzPjVtuYspQyNjh45513ePPNN3E6nRQVFTF//nwmTpzY\niW9aEYaLDIQcaRC1VrSIoozjgBpgFAaDnSeeKGT27Nnxb8e8AzF5kgwuuitXwrPUiDCEVQF68vPz\ncbuFQSM/P59Fi0Q9HqmDJF2hvYc/KUOS/kRnO0SkW25lp4r+QywVyel0MnOmhUBAhcFgxWAwxA0S\nidfHarVSXV3d5vpJ3df3SCOGRNJFioud7N17BBiNqE9gRURhBAA9er0Jvd7CtGk6cnJEwU6XyxUP\n9c/MzKS4uJhFi2wJhaSOy4ltELB161bWrl3LHXfcwcSJE/n73//Oz3/+c55++mlyc3PP8m0Hop5K\nFrAPOI4wWpyHiMjQMWlSgJMnm5g1axxXXnll0rdbhzdKj/rgoSdyddFFF/Hss5UIQ1gdYOGSSy7B\n4xHG1czMzLQfv2Tw0lMdI73TktbEigtLJOkgUefEOpUkOn86K39SRvseacSQSLpIRoYWozEb4SV3\nI8K0FUQdAzt2e4jMTBX33jszqWDnBRcUAiIPr6qqKqEwlcyjGyz83//7f7nyyiv5+te/DkBZWRm7\ndu3i3Xff5aabbjrLt62Ih8wgIhJjPKLlqhq1Ws9//Ecmb789gXA4il5/5nxzacAYXPRErkpLSyks\nrMPtPklTUwFgwG7Xsnq1iOKR6UeSvkJ6pyXppr+kg/eX4xjqiA5KovPI4sXT4hGsq1YdIBDwYjBk\ntSnOCV2/ftI42zsMaSNGTMha9wCWSM6EwWDAbi9AFPe0I+oYhFCri9FojEybZmfEiAlJBoxYrnB1\ndTUPPngIgOefF2FtsaJAUtkNbMLhMIcPH+baa69N2j5t2jQqKyvP+n2VyoSiZCBqrBgRhjEN4CYa\nVbe0ygRFCSIMaMnIRdLgpKdy1dTUhNvdRCBwCihAyFVySK1EIpH0F1I9f/WX+bC/HMdQJZZuu3On\nAzjdQSnWVSkS8TFtWkaH3Wk6e/2kcbb3GLJGjEQhe+wx2dJL0nkWLSrlH/+oZfNmH4riQTwYRMnM\nbCI728KDD56XZMBo3YIukcQe04sWSe/5QKapqYloNNrmGtpsNvbs2XPW7xcU5FNTE0Cvr0WrLcTv\n9zN6dDmHD1+CSgW5ublMmRIGDFit2e3uQ8rP4KOncgWgVmeg0xUQDB5Hrc5iypTkWirS+CXpDj0N\n+5eyJ+ltpId8aCM6KFnir09vswP2eGHP9uRDyk7/Qz65SyRdJCsri/Hjx2OxHCEcjhAIaAAt555r\nJy8vr40BI9EiKyoji/0UFxdLL+gQpby8nPLy8vjfN9xwA1dcUcy2bVWUlk4gFLLy6adO1OoLKS7O\nQKvVce6551JR4SQ728P990+mqKio2+Pr9fpej0Ab6GOuX78+/nrKlClMmTIlJftNN0VFRVxxxVFC\noSCKkodeb2by5MlJn5GLMklfIWVP0ltID/nQJna9Y3UwWkdKJ25rTVdkRxpne48ha8SICZms5C/p\nDpmZmYwYMQK/34TT6USlMmAy2ZPC0DrqFHG6FoZUdoOJzMxM1Gp1G8OU0+mMp4LEaO8h+J57xqBW\nRwBwu/3Y7R5KSrTce+8MAOx2O/fcI/aTlZWF2+3u9rFardYefX+ojWm1WrnhhhtScERdpyty1Z5x\nzGKxkJMjInfuu68Em83W5ns9pTcMVINljNbjDFTjGMg5S9J3SK+4pLu0JzOtI6fP9NnujiFJPUPW\niBFj9erj6PWnuOeeMVLoJJ3GZrNx0UWFBAK5BINOQIfVasVgEGFqXekUIeVucKDVahk7diy7d+/m\noosuim/fs2dP0t8dUVxczOLFomPNk09uxeGIsH+/kI3XXvMB+6T3aAjSFblq7yHY4/EQDPoA0Gg0\naLXalBuTesNANVjGSBynL41jqUB2kZD0Bd2NqJBOI8mZiMlVIOABdPECn1arVcpOP0WlKIrS1wch\nkUgkg4GtW7fyhz/8gR/+8IeUlJSwadMmtmzZwlNPPdWJFqsSSftIuZJIJBKJRCI5jbqvD6A/kBjO\nOdDHGSxjSDpPf74e/fnY0sHs2bOZP38+f/nLX3j44YeprKzkkUce6XcPmn1xXYbKmOmgu3Il57b+\nN0ZvjjMQ6W/npj8dT386lr6it8+BHE+SrnOUznM/0I65u/sd8ukkEolEkkquvvpqrr766r4+DMkg\nQ8qVRCKRSCQSiUBGYkgkEolEIpFIJBKJRCIZEGiWLl26tK8Poj+Ql5c3aMYZLGNIOk9/vh79+diG\nMn1xXYbKmP0JObf1vzF6c5yBSH87N/3pePrTsfQVvX0O5HiSdJ2jdJ77gXbM3dmvLOwpkUgkEolE\nIpFIJBKJZEAg00kkEolEIpFIJBKJRCKRDAikEUMikUgkEolEIpFIJBLJgEAaMSQSiUQikUgkEolE\nIpEMCKQRQyKRSCQSiUQikUgkEsmAQNvXB9AbbNy4kR07dlBbW4tOp2PChAncdNNNFBUVJX1u/fr1\nvPfee3i9XiZMmMDtt9/OyJEjezTuK6+8wpw5cygrK0vZOA6Hg3Xr1vHFF1/Q3NzM8OHD+eEPf8jk\nyZNTMkYkEuHVV19l69atOBwO7HY7l156KTfccANq9Wm7V6rPl6R9+kp+u3us6ZB5SdfoDzLTm7KQ\nbp04EHnnnXd48803cTqdFBUVMX/+fCZOnNitfVVUVPC3v/2Nw4cP43A4WLBgAVdccUXSZ3p6fntL\nZv/+97/z3nvvUV9fD0BRURFz585l5syZKRujvd8m9eJp+oN+OtOx9eW1Guq6rC/uz0TSff3Xr1/P\nX/7yl6RtWVlZPPvssykfK8ZQl6nOkK45Ll26rrfuk1TdD+mS+yERiVFRUcGcOXP42c9+xuOPP45G\no2H58uV4PJ74Z15//XXeeustbr/9dp544gkyMzNZvnw5fr+/W2NWVlby3nvvMWrUqKTtPR3H6/Xy\n2GOPoVKpeOSRR1ixYgVlZWXYbLaUjbFx40Y2b95MWVkZv/3tb5k/fz7vvvsuGzduTNkYks7TF/Lb\nHdIl85Ku09cy05uy0Bs6caCxdetW1q5dy7/927/xq1/9ipKSEn7+85/T0NDQrf0FAgGKi4uZP38+\ner0elUqV9H4qzm9vyWxubi4333wzTz75JL/85S8555xz+NWvfsWRI0dSNkYiUi+2pa/1U0f09bWS\nuqz3789Eeuv6FxQU8Nxzz8X//frXv07bWFKmOke65rh06breuE9SfT+kRe6VIUhzc7Ny4403Kp99\n9pmiKIoSjUaVO+64Q/nrX/8a/0wgEFB+8IMfKJs2bery/r1er7Jw4UKlvLxcWbp0qfLiiy+mbJx1\n69Ypjz32WIfvp2KMJ554QnnmmWeStv3+979XnnjiiZSNIek+6Zbf7pBOmZf0nN6Umd6Whd7QiQON\nRx55RHn22WeTtt17773KunXrerzvW265RdmyZUv873Sd396U2dtuu03ZtGnTgFoLDCb6w5zWH66V\n1GXtk677M5Heuv6vvvqq8sADD7T7Xjp+n5SprpPOOS6dui6V90mq74d0yf2QiMRoTXNzM4qiYDab\nAaivr8flcjF9+vT4Z/R6PZMmTWLfvn1d3v+zzz7LxRdfzOTJk1EUJb49FeN8+umnjB8/nt/85jfc\ncccd/PjHP+bvf/97SseYMWMGX375JbW1tQAcO3aM8vLyeJhSqs+XpGukW367QzplXtJzelNmelsW\nekMnDiTC4TCHDx9m2rRpSdunTZtGZWVlysdL1/ntDZmNRqN8/PHHhEIhJk+ePKDWAoOJ/jCn9Ydr\nJXVZMum+PxPpzetfX1/Pj370IxYuXMiKFSviKQHpGEvKVM9J5TlKh65Lx32SjvshHXI/JGpitGbN\nmjWMHj2akpISAJxOJ0BSeBVAZmYmDoejS/vevHkz9fX13HfffQBJIUmpGKe+vp533nmHb3/723z3\nu9/lyJEjrF69GoBrrrkmJWPMmTOHxsZGFi1ahFqtJhqNMnfuXK6++uqU/Q5J90mn/HaHdMu8pOf0\nlsz0hSz0hk4cSDQ1NRGNRsnKykrabrPZ2LNnT8rHS9f5TafMHj16lJ/85CeEw2H0ej2LFi2ioKAg\nvmAaCGuBwURfz2n95VpJXSbojfszkd68/iUlJdxzzz0UFBTgcrn461//yqOPPsrTTz+dlusrZarn\npPIcpVLXpes+Scf9kC65H3JGjJdeeonKykqWLVvWJuepPTrzmRi1tbW88sorLFu2LF4AM9GClYpx\notEo48eP53vf+x4Ao0ePpq6ujnfeeYdrrrkmJWO8/fbbbNmyhfvuu4+ioiIOHz7M2rVrGTZsGF//\n+tdTMoake6RTfrtDb8i8pGf0lsz0lSz0hk6UdI/unt90y2xBQQG//vWv8fl8bNu2jRUrVrBkyZKU\njSH1Yufp6zmtP10rqcsE6b4/E+nt63/uuecm/V1SUsLChQvZsmULEyZMSOlYIGUq3XTlHKVa16Xj\nPknX/ZAuuR9SRoy1a9eybds2lixZQl5eXnx7zGPlcrnIycmJb3e5XG28WWeisrISt9vNgw8+GN8W\njUb56quv2LRpE0899VSPx8nOzm5TrbWwsDBesC0Vv2Xjxo3MnTuX2bNnA6LqbUNDA6+//jpf//rX\nU3a+JF0j3fLbHXpD5iXdpzdlpq9koTd04kAiMzMTtVod927EcDqd2O32lI+X6vPbGzKr1WoZPnw4\nAGPGjOHgwYO88847XH/99SkZQ+rFztEf5rT+dK2kLhOk+/5MpK+vv8FgYOTIkRw/fpxZs2alfCwp\nUz0nFecoHbouHfdJb90PqZL7IWPEWLNmDdu3hzJtTAAADt5JREFUb2fJkiUUFBQkvZeXl0dWVha7\ndu1i7NixAASDQfbu3cstt9zS6TFmzZrF+PHj438risLKlSvJz89n7ty55Ofn93ic0tLSeK2KGLW1\ntfGbIhW/RVGUNtYvlUoVt8al6nxJOk9vyG936A2Zl3SP3paZvpKF3tCJAwmtVsvYsWPZvXs3F110\nUXz7nj17kv5OFak8v32l56LRKNFodECtBQY6/WVO60/XSuqy9kn1/ZlIX1//YDBITU0N55xzTlp+\nn5SpntPTc9Rbui4V90lv3Q+pknvN0qVLl3Z61AHKCy+8wIcffsiiRYvIycnB7/fH27ZotVpUKhXR\naJTXX3+dgoICIpEIf/rTn3C5XNx5551otZ2z9eh0OjIzM+P/bDYbH330EcOGDePyyy9PyTi5ubls\n2LABtVqN3W5nz549vPrqq3z3u99l3LhxKRmjrq6ODz74gIKCAjQaDeXl5bzyyitccsklTJ8+PWXn\nS9I5ekt+u0NvyLyk6/SFzPSVLPSGThxoZGRksH79eux2Ozqdjr/85S/s3buXBQsWYDKZurw/v9/P\nsWPHcDqdvP/++xQVFWEymQiHw5jN5pSc396S2XXr1qHX64lGozQ2NvLWW2/x0UcfccsttzB8+PAB\nsxYYyPSnOa0/XSupy3rn/kykt6//n/70J3Q6HYqiUFtby+rVqzlx4gR33nknJpMp5b9PylTnSNcc\nly5dl677JF33Q7rkXqV0NtllAHPjjTe2u33evHnxsBuADRs2sHnzZjweDyUlJdx+++1twrC6yn//\n939TVFREWVlZysbZuXMn//M//0NtbS3Dhg3jmmuuaZPb1pMx/H4/69ev55NPPsHlcmG327nkkku4\n/vrrk4QpHedL0pa+lN/ukA6Zl3SN/iIzvSUL6daJA5F3332XN954A6fTyahRo7j11luZOHFit/ZV\nXl7OsmXL2my//PLLufvuu4Gen9/ektmVK1dSXl6O0+nEZDJRXFzMtddem9TNZaCsBQYq/UU/dURf\nXquhrsv66v5MJJ3Xf8WKFXz11Ve43W4yMzMpKSnhxhtvpLCwMOVjxRjqMtUZ0jXHpUvX9eZ9kor7\nIV1yPySMGBKJRCKRSCQSiUQikUgGPuq+PgCJRCKRSCQSiUQikUgkks4gjRgSiUQikUgkEolEIpFI\nBgTSiCGRSCQSiUQikUgkEolkQCCNGBKJRCKRSCQSiUQikUgGBNKIIZFIJBKJRCKRSCQSiWRAII0Y\nEolEIpFIJBKJRCKRSAYE0oghkUgkEomkVxg9ejRXXnllXx8GAKtWrcJms+FwOFK639/+9rfk5ubi\ndDpTul+JRCKRSCQCacSQSCQSiSRNqNXqTv87evRoXx8uzzzzDGq1mt/+9rdn/Nytt96KWq1m+/bt\nXdq/SqVCpVL15BBTgsvlYsmSJTzwwAPY7fb49oMHD3LNNddgs9kYN24cv/vd79r9/r333su5555L\nNBpt895dd92FwWBg+fLlaTt+iUQikUiGMipFUZS+PgiJRCKRSAYjL7/8ctLfH374Ic899xw/+tGP\n+NrXvpb03r/+679iMpl68/Da4HK5yM/Pp6SkhC+++KLdz7jdbkaMGMHo0aMpLy/v0v5Hjx7N2LFj\nef/991NxuN3miSeeYOnSpdTW1pKTkwNANBrl3HPPJRAIsGjRIr788ktWrlzJa6+9xty5c+Pf/eST\nT7jsssvYunUr5513Xrv7X758OT//+c+pqakhOzu7V36TRCKRSCRDBW1fH4BEIpFIJIOVm266Kenv\nYDDIc889x8UXX9zmvda43W6sVms6D68NNpuNuXPn8vLLL/P5558zY8aMNp9Zv349zc3NlJWV9eqx\npYpoNMqzzz7LN7/5zbgBA2D//v18+eWXbNmyhcsuuwyAL7/8kr/+9a9xI0YoFOKOO+5g4cKFHRow\nAL7//e+zZMkS1q5dywMPPJDeHySRSCQSyRBDppNIJBKJRNLHxGpFfP7558yZM4esrCymT58OwNKl\nSztMN+moxsTmzZu5+uqrsdvtZGRkMH36dJ599tlOHcvtt98OwOrVq9t9f/Xq1eh0On7wgx8AsHLl\nSq6++mpGjhyJwWCgoKCAW265haqqqk6Np1arue2229psX7t2LWq1mg8//DBpu8vl4uGHH2b8+PEY\njUby8vK46aabOHz4cKfG27FjB0ePHuWb3/xm0vbm5maApPQSu92Oz+eL//3kk0/i8Xj46U9/esYx\nxowZQ2lpKRs2bOjUMUkkEolEIuk80oghkUgkEkkfo1KpOHr0KP/yL//CmDFj+PWvf829997bqe+1\nrjHx3HPPcfXVV+Pz+Xj00Uf5zW9+w7hx41iwYAE//vGPz7rPK6+8kjFjxvDyyy8TDAaT3qusrGTb\ntm1861vfYtiwYQA89dRT5OXlcd9997Fy5UpuuOEGNm7cyOzZszl16lSnf39ncLlczJ49m1WrVvGd\n73yHP/zhDyxcuJD333+fCy+8sFN1RT744AMAZs2albR94sSJZGdns3z5co4cOcJbb73FO++8w+zZ\ns+O//Wc/+xmrVq0iIyPjrONcdNFFfPbZZ0lGEIlEIpFIJD1HppNIJBKJRNLHKIrC4cOHeeGFF7qU\nptG6rFVdXR333nsvN910E3/+85/j2++66y7uv/9+nn76aRYsWMCYMWPOuN/bbruNxx9/nDfeeIN5\n8+bFt69ZswYg6Ri//PLLNg/11157LVdddRUvvvgiDz30UKd/z9l4/PHHOXLkCNu3b2fq1Knx7fPn\nz2fq1KksWbIkfowdUVFRAcC4ceOSthuNRl588UVuvfVWXnvtNQCuueYa7r33XhRF4c4772Tu3LnM\nmTOnU8c6btw4wuEw+/btazctRyKRSCQSSfeQkRgSiUQikfQDcnJy2k2r6AqvvfYawWCQsrIyGhoa\nkv59+9vfJhqNsnnz5rPuZ/78+ajV6iSDQCQS4U9/+hP5+flJqRgxA0Y0GsXlctHQ0MC0adOw2Wzs\n2LGjR78nEUVRWLduHZdddhkFBQVJv81kMnHhhRfy7rvvnnU/J0+eRKfTYbFY2rx33XXXcezYMXbs\n2MGBAwd4++230ev1vPjii/z/9u4tJKotjuP4b7SxAo3QGaO85AXHIp9SClJ6EDXoJehhKHNCzLIb\n8yIkCWZlSYHSkEYXihKjh8gHDTUbCIRMU+ihEQSpICgtp4sh0ZAxnQeZOUzj7WQcnHO+n6fZa6+9\n9lq+7b//tf6Dg4NyOBz69u2b7Ha7kpOTlZGRoUuXLk37Ht95G2NjYwtbOAAACEAmBgAAi0BqauqC\ny48ODQ1JkvLy8qa9bzAY5vVRHR8fr4KCAj18+FAjIyNas2aNurq6NDo6qoqKCoWF/f0/kEePHun0\n6dPq7++Xx+MJGOfz588LWE0gt9utT58+qaury7+V5Vfh4eFzjjPX3zgyMlJZWVn+63fv3unYsWNy\nOBwymUw6dOiQnE6nmpub9ebNG5WUlCg2NjYgY0X6O0tmMZSUBQDgv4QgBgAAi8BM5VVn+wj+8eNH\nwLXvw7m5uVmrV6+e9pm5tpL4lJSU6MGDB2pqatLx48d18+ZNGQyGgK0kAwMDKigokMVi0fnz55Wc\nnOzPzNi1a5e8Xu+83jWdmdaWn5+vioqK3x7XbDZrcnJy3tVf7Ha7srKytHfvXnm9XjU1NamxsVE5\nOTmSpPb2dt24cSMoiOE7D2SmgAsAAPg9BDEAAFjEoqOjJU19FCcmJvrbPR6PRkdHZbFY/G2+3zEx\nMcrNzV3Qe3fs2KGYmBg1NTWprKxMbW1tys7OVlpamr/PnTt35PV61dnZqbVr1/rbv379Ou9DPaOj\no6ft++rVq4Brs9mslStX6suXLwtaW0ZGhqSpkqobN26cte/9+/fV3t6uwcFBSdKHDx/k8XiUkJDg\n7xMfH69nz54FPfvixQsZjUalp6f/9lwBAEAwzsQAAGAR830EO53OgPYLFy4EHexptVq1dOlSVVdX\nB23tkKaqe/xacWQmRqNRNptNw8PDOnjwoCYnJ/3lV3182zd+zbiora0NmttMLBaLnjx54i9xKk1t\nQ/FlfviEhYVpz5496u/vV0tLy7Rjud3uOd/nK0nb29s7a7+JiQkdPnxYJ0+e9GevxMTEKCIiQs+f\nP/f3c7lciouLC3q+r69PmZmZM2bYAACA30MmBgAAi1heXp7S09N14sQJffz4UUlJSXr8+LGePn0q\nk8kUECyIi4vT5cuXVVpaqvXr18tmsykxMVFut1sul0utra0aGhoKyOiYzb59++RwOHTv3j1FRUXJ\narUG3N+5c6ccDoe2b9+uAwcOyGg0yul0yuVyBc1tJkePHlVRUZFyc3NVVFSk8fFxXb9+XUlJSXr/\n/n1A37Nnz6qnp0dWq1VWq1WbN29WRESEXr9+rY6ODmVlZc1ZnSQzM1MpKSnq6OjQkSNHZuxXWVkp\ns9ms8vJyf1t4eLh2796tmpoa/fz5U2/fvlVnZ6du3boV8OzLly81PDys+vr6OdcPAAD+GYIYAAD8\nSwwGw7RnXMx27kVYWJja2tpkt9vV0NCgiIgIbdu2Td3d3crOzg56tri4WBaLRXV1dbp69arGx8dl\nMpm0bt06nTlzRqtWrZr3fDds2KBNmzZpYGBAVqs1qJTqli1b1NLSopqaGlVVVWn58uXKz89Xd3e3\ntm7dGjS36dZZWFiokZERNTY2qry8XKmpqaqurpbBYAiqbrJixQr19PSovr5ed+/eVWtrq5YsWaKE\nhATl5OSotLR0XusqKytTZWWlxsbGFBsbG3S/r69P165dU29vb8AhppJ08eJFSdK5c+cUGRmp2tpa\n2Wy2gD63b9/WsmXLVFxcPK/5AACA+TP8nG++JwAAwH/AxMSE0tLStH//ftXU1PzRsT0ej1JSUlRY\nWKi6uro/OjYAAOBMDAAA8D8TFRWlU6dOqaGh4Y+WgZWkK1eu6Pv376qqqvqj4wIAgClkYgAAAAAA\ngJBAJgYAAAAAAAgJBDEAAAAAAEBIIIgBAAAAAABCAkEMAAAAAAAQEghiAAAAAACAkEAQAwAAAAAA\nhASCGAAAAAAAICQQxAAAAAAAACHhL3+uSVOr8WKdAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot scatters.\n", + "import math\n", + "from matplotlib import lines\n", + "\n", + "plt.style.use('ggplot')\n", + "\n", + "def nrmsd(truths, preds):\n", + " \"\"\" Normalized root mean squared deviation. \"\"\"\n", + " return rmsd(truths, preds) / (max(truths) - min(truths))\n", + "\n", + "def rmsd(truths, preds):\n", + " \"\"\" Normalized root mean squared deviation. \"\"\"\n", + " return math.sqrt(mean_squared_error(preds, truths))\n", + "\n", + "def plot_scatter_subfig(category_results, axis, category, yidx):\n", + " results = category_results[category]\n", + " name = outputs[category][yidx]\n", + " preds = [p[yidx] for p in results['preds']]\n", + " truths = [p[yidx] for p in results['truths']]\n", + "\n", + " fit = np.polyfit(truths, preds, 1)\n", + " fit_fn = np.poly1d(fit)\n", + " tr_extrema = [min(truths),max(truths)]\n", + " axis.plot(tr_extrema, fit_fn(tr_extrema),'b--', linewidth=1, alpha=.5) # , color='#9C9C9C')\n", + " axis.plot(truths, preds, 'bo', alpha=.5, ms=2)\n", + " #axis.plot(truths, preds, 'o', truths, fit_fn(truths), 'k', linewidth=1.1,\n", + " # ms=2, markerfacecolor='None', markeredgecolor='b')\n", + " axis.set_title('%s\\n$r=%.2f$' % (name, pearsonr(preds, truths)[0]), size=14)\n", + " axis.locator_params(nbins=5, tight=True) \n", + " mean = np.mean(truths)\n", + " start, end = axis.get_xlim()\n", + " \n", + "def make_scatters_fig(category_results):\n", + " figure, axes = plt.subplots(3, 7, figsize=(15,8))\n", + " # Row 1\n", + " plot_scatter_subfig(category_results, axes[0][0], 'Politics', 0)\n", + " plot_scatter_subfig(category_results, axes[0][1], 'Politics', 1)\n", + " plot_scatter_subfig(category_results, axes[0][2], 'Gender', 0) \n", + " plot_scatter_subfig(category_results, axes[0][3], 'Income', 0)\n", + " plot_scatter_subfig(category_results, axes[0][4], 'Income', 1)\n", + " plot_scatter_subfig(category_results, axes[0][5], 'Income', 2)\n", + " plot_scatter_subfig(category_results, axes[0][6], 'Income', 3)\n", + " # Row 2\n", + " for i in range(6):\n", + " plot_scatter_subfig(category_results, axes[1][i], 'Age', i) \n", + " plot_scatter_subfig(category_results, axes[1][6], 'Children', 0) \n", + "\n", + " # Row 3\n", + " for i in range(4):\n", + " plot_scatter_subfig(category_results, axes[2][i], 'Ethnicity', i)\n", + " plot_scatter_subfig(category_results, axes[2][4], 'Education', 0)\n", + " plot_scatter_subfig(category_results, axes[2][5], 'Education', 1)\n", + " plot_scatter_subfig(category_results, axes[2][6], 'Education', 2)\n", + "\n", + " axes[0, 1].text(-.05, 1.35, 'Politics',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=18, weight='bold', transform=axes[0, 1].transAxes)\n", + " axes[0, 2].text(.5, 1.35, 'Gender',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=18, weight='bold', transform=axes[0, 2].transAxes)\n", + " axes[0, 4].text(1.1, 1.35, 'Income',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=18, weight='bold', transform=axes[0, 4].transAxes)\n", + " axes[1, 2].text(1.1, 1.3, 'Age',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=18, weight='bold', transform=axes[1, 2].transAxes)\n", + " axes[1, 6].text(.5, 1.32, 'Family',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=18, weight='bold', transform=axes[1, 6].transAxes)\n", + " axes[2, 1].text(1.1, 1.32, 'Ethnicity',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=18, weight='bold', transform=axes[2, 1].transAxes)\n", + " axes[2, 5].text(.5, 1.32, 'Education',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=18, weight='bold', transform=axes[2, 5].transAxes)\n", + "\n", + " axes[1][0].set_ylabel('Predicted Value (%)', size=18)\n", + " plt.figtext(0.5,.01,\"True Value (%)\",fontdict={'fontsize':18}, verticalalignment='top', horizontalalignment='center')\n", + " # figure.set_size_inches(12,8)\n", + " figure.tight_layout()\n", + " plt.subplots_adjust(hspace=.7) \n", + " figure.show()\n", + " plt.savefig('scatters.pdf', bbox_inches='tight')\n", + "\n", + "\n", + "make_scatters_fig(category_results_both2)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "```ElasticNetCV:\n", + "84/73/89\n", + "alpha chosen= 9.88759941363e-06 l1ratio chosen= 0.5\n", + "alpha chosen= 9.88123433773e-06 l1ratio chosen= 0.5\n", + "alpha chosen= 1.05984195308e-05 l1ratio chosen= 0.5\n", + "alpha chosen= 1.00014682098e-05 l1ratio chosen= 0.5\n", + "alpha chosen= 1.00588197082e-05 l1ratio chosen= 0.5\n", + "alpha chosen= 1.00846425908e-05 l1ratio chosen= 0.5\n", + "\n", + "Ridge (.1) (best of [.1, .3, .5, .8, 1., 3., 5., 10.])\n", + "76/52/83\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Gender Male 51263592 26257166 2557521 28870086 1344951\n", + "Gender Female 15846407 19397785 21324258 106837463 11522502\n", + "Age 18-24 18927441 10671602 29758446 14922225 36803580\n", + "Age 25-34 6480682 22027186 31080039 23544596 1344951\n", + "Age 35-44 428333 813286 51241574 16331010 2557521\n", + "Age 45-54 1367531 428333 51241574 3108351 759251\n", + "Age 55-64 1367531 428333 51241574 28785486 3108351\n", + "Age 65+ 1367531 51241574 3108351 428333 14669951\n", + "Income $0-50k 10228272 10671602 18927441 29758446 27195114\n", + "Income $50-100k 51263592 428333 26257166 2557521 120943272\n", + "Income $100-150k 3108351 2557521 51263592 26257166 120943272\n", + "Income $150k+ 3108351 5988062 91478624 807095 34713362\n", + "Politics Democrat 813286 19397785 14677919 25110374 409486555\n", + "Politics Republican 1367531 15976697 41634520 110445334 14669951\n", + "Education No College 10228272 10671602 29758446 24742040 18927441\n", + "Education College 16303106 1344951 115485051 972651 22027186\n", + "Education" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/awculott/.local/lib/python2.7/site-packages/requests/packages/urllib3/util/ssl_.py:90: InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. For more information, see https://urllib3.readthedocs.org/en/latest/security.html#insecureplatformwarning.\n", + " InsecurePlatformWarning\n", + "/Users/awculott/.local/lib/python2.7/site-packages/requests/packages/urllib3/util/ssl_.py:90: InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. For more information, see https://urllib3.readthedocs.org/en/latest/security.html#insecureplatformwarning.\n", + " InsecurePlatformWarning\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Grad School 807095 3108351 14677919 5988062 2467791\n", + "Children No Kids 14677919 16303106 807095 16129920 14089195\n", + "Children Has Kids 18784113 29730065 16581734 15846407 14709355\n", + "Ethnicity Caucasian 15485441 1367531 14920785 15846407 14075928\n", + "Ethnicity Hispanic 16664681 20346956 16374678 23043294 10252962\n", + "Ethnicity African American 23151437 27195114 117778179 18220175 25110374\n", + "Ethnicity Asian 816653 1344951 50393960 5988062 36511031\n" + ] + } + ], + "source": [ + "# Print the top features.\n", + "from collections import defaultdict\n", + "from twutil import collect\n", + "\n", + "def get_top_user_ids(category_results, feats):\n", + " id_list = []\n", + " top_user_ids = defaultdict(lambda: defaultdict(lambda: []))\n", + " for category in category_results:\n", + " results = category_results[category]\n", + " coef = results['model'].coef_\n", + " for yi, ylabel in enumerate(outputs[category]):\n", + " topi = np.argsort(coef[yi])[::-1][:5]\n", + " print category, ylabel, ' '.join('%d' % x for x in feats[topi])\n", + " id_list.extend(feats[topi])\n", + " top_user_ids[category][ylabel] = feats[topi]\n", + " return top_user_ids, id_list\n", + "\n", + "def get_top_user_names(category_results, feats):\n", + " top_user_ids, id_list = get_top_user_ids(category_results, feats)\n", + " user_names = collect.lookup_handles(id_list)\n", + " id2user = dict([(int(x[1]), x[0]) for x in user_names])\n", + " for category in top_user_ids:\n", + " for label in top_user_ids[category]:\n", + " top_user_ids[category][label] = [id2user[x] for x in top_user_ids[category][label] if x in id2user]\n", + " return top_user_ids\n", + "\n", + "top_users = get_top_user_names(category_results_fol, fol_feats)" + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Male Female\n", + "------------ -------------\n", + "AdamSchefter TheEllenShow\n", + "SportsCenter Oprah\n", + "espn MarthaStewart\n", + "mortreport Pinterest\n", + "WIRED Etsy\n", + "\n", + "55-64 25-34 65+ 18-24 45-54 35-44\n", + "------- ----------- ------------- ------------- ------- -----------\n", + "FoxNews azizansari FoxNews IGN FoxNews cnnbrk\n", + "cnnbrk lenadunham AP PlayStation cnnbrk BarackObama\n", + "AP mindykaling WSJ RockstarGames AP AP\n", + "ABC WIRED cnnbrk Ubisoft WSJ TMZ\n", + "WSJ DRUDGE_REPORT steam_games CNN espn\n", + "\n", + "$100-150k $0-50k $50-100k $150k+\n", + "------------ ------------- ------------ ------------\n", + "WSJ YouTube AdamSchefter WSJ\n", + "espn PlayStation cnnbrk TheEconomist\n", + "AdamSchefter IGN SportsCenter Forbes\n", + "SportsCenter RockstarGames espn nytimes\n", + "ErinAndrews Drake ErinAndrews business\n", + "\n", + "Republican Democrat\n", + "-------------- -------------\n", + "FoxNews BarackObama\n", + "michellemalkin Oprah\n", + "seanhannity NewYorker\n", + "megynkelly UncleRUSH\n", + "DRUDGE_REPORT MichelleObama\n", + "\n", + "College No College Grad School\n", + "------------- ------------- --------------\n", + "StephenAtHome YouTube nytimes\n", + "WIRED PlayStation WSJ\n", + "ConanOBrien RockstarGames NewYorker\n", + "mashable Xbox TheEconomist\n", + " IGN washingtonpost\n", + "\n", + "No Kids Has Kids\n", + "------------- ---------------\n", + "NewYorker parenting\n", + "StephenAtHome parentsmagazine\n", + "nytimes HuffPostParents\n", + "maddow TheEllenShow\n", + "pitchfork thepioneerwoman\n", + "\n", + "Hispanic African American Caucasian Asian\n", + "---------- ------------------ ------------ ------------\n", + "latimes KevinHart4real jimmyfallon TechCrunch\n", + "Lakers Drake FoxNews WIRED\n", + "ABC7 Tip blakeshelton BillGates\n", + "Dodgers iamdiddy TheEllenShow TheEconomist\n", + "KTLA UncleRUSH TheOnion SFGate\n", + "\n" + ] + } + ], + "source": [ + "from tabulate import tabulate\n", + "for label, values in top_users.iteritems():\n", + " print tabulate(values, headers=values.keys())\n", + " print" + ] + }, + { + "cell_type": "code", + "execution_count": 635, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import re\n", + "\n", + "def list2row(mylist, fmt='%s'):\n", + " return u' & '.join([fmt % i for i in mylist])\n", + "\n", + "def verb(s, delim=';'):\n", + " return '\\\\verb' + delim + s + delim\n", + "\n", + "def clean(s):\n", + " s = re.sub('MENTION_', '@', s)\n", + " s = re.sub('HASHTAG_', '\\#', s)\n", + " s = re.sub('_', '\\\\_', re.sub('\\$', '\\\\$', s))\n", + " s = re.sub('African American', 'Afr. Amer.', s)\n", + " return '\\\\mbox{' + s + '}'\n", + "\n", + "def make_user_table(top_users):\n", + " outf = open('users.tex', 'wt')\n", + " outf.write('\\\\begin{table*}[t]\\n\\\\centering\\n\\\\begin{tabular}{|c|c|p{10.2cm}|}\\n\\\\hline\\n')\n", + " outf.write(list2row(['{\\\\bf Category}', '{\\\\bf Value}', '{\\\\bf Top Accounts}']) +\n", + " '\\\\\\\\\\n\\\\hline\\n')\n", + " for ci, category in enumerate(outputs):\n", + " for li, label in enumerate(outputs[category]):\n", + " row = [''] * 3\n", + " row[0] = category if li == 0 else ''\n", + " row[1] = clean(label)\n", + " row[2] = ', '.join(clean(x) for x in top_users[category][label])\n", + " outf.write(list2row(row) + '\\\\\\\\\\n')\n", + " outf.write('\\\\hline\\n')\n", + " outf.write('\\\\end{tabular}\\\\caption{Accounts with the highest estimated coefficients for each category.\\\\label{tab.users}}\\n\\\\end{table*}\\n')\n", + "\n", + "make_user_table(top_users)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 636, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Gender Male film guy gay man fuck game team internet review guys\n", + "Gender Female hair her omg family girl she girls cute beautiful thinking\n", + "Age 18-24 d haha album x xd _: actually stream wanna im\n", + "Age 25-34 super dc baby definitely nba pregnancy wedding even entire nyc\n", + "Age 35-44 star fans kids tv bike mind store awesome screen son\n", + "Age 45-54 wow vote american comes ca santa county boys nice high\n", + "Age 55-64 vote golf red american country north county holiday smile 99,999\n", + "Age 65+ vote golf MENTION_foxnews holiday may american he family north national\n", + "Income $0-50k lol games MENTION_youtube damn black ps9 side d community god\n", + "Income $50-100k great seattle he performance lose usa kansas iphone wow cold\n", + "Income $100-150k santa flight nice looks practice congrats bike dc retweet ride\n", + "Income $150k+ dc nyc market MENTION_wsj congrats beach san york ca looks\n", + "Politics Democrat women u ain't nyc equality la voice seattle dc MENTION_nytimes\n", + "Politics Republican MENTION_foxnews christmas HASHTAG_tcot football county morning family christians country obama's\n", + "Education No College lol games put MENTION_youtube county made ps9 xbox videos found\n", + "Education College our you're seattle photo MENTION_mashable la apple fashion probably san\n", + "Education Grad School dc MENTION_nytimes market which review excellent boston also congrats MENTION_washingtonpost\n", + "Children No Kids care street gay years health drink dc white ht… album\n", + "Children Has Kids kids school child family kid daughter children utah moms parents\n", + "Ethnicity Caucasian christmas fun dog country st could luck guy florida john\n", + "Ethnicity Hispanic la los san el angeles california ca lol l.a lakers\n", + "Ethnicity African American black lol bout ain't brown lil african blessed smh atlanta\n", + "Ethnicity Asian chinese la sf san china korea india bay vs hi\n" + ] + } + ], + "source": [ + "import io\n", + "\n", + "def get_top_terms(category_results, outputs, feats):\n", + " term_list = []\n", + " top_terms = defaultdict(lambda: defaultdict(lambda: []))\n", + " for category in category_results:\n", + " results = category_results[category]\n", + " coef = results['model'].coef_\n", + " for yi, ylabel in enumerate(outputs[category]):\n", + " topi = np.argsort(coef[yi])[::-1][:10]\n", + " print category, ylabel, ' '.join('%s' % x for x in feats[topi])\n", + " term_list.extend(feats[topi])\n", + " top_terms[category][ylabel] = feats[topi]\n", + " return top_terms, term_list\n", + "\n", + "def make_term_table(top_terms):\n", + " outf = io.open('terms.tex', 'wt', encoding='utf8')\n", + " outf.write(u'\\\\begin{table*}[t]\\n\\\\centering\\n\\\\begin{tabular}{|c|c|p{10.2cm}|}\\n\\\\hline\\n')\n", + " outf.write(list2row(['{\\\\bf Category}', '{\\\\bf Value}', '{\\\\bf Top Terms}']) +\n", + " '\\\\\\\\\\n\\\\hline\\n')\n", + " for ci, category in enumerate(outputs):\n", + " for li, label in enumerate(outputs[category]):\n", + " row = [''] * 3\n", + " row[0] = category if li == 0 else ''\n", + " row[1] = clean(label)\n", + " row[2] = ', '.join(clean(x) for x in top_terms[category][label])\n", + " outf.write(list2row(row) + '\\\\\\\\\\n')\n", + " outf.write(u'\\\\hline\\n')\n", + " outf.write(u'\\\\end{tabular}\\\\caption{Terms with the highest estimated coefficients for each category.\\\\label{tab.terms}}\\n\\\\end{table*}\\n')\n", + "\n", + "top_terms, term_list = get_top_terms(category_results_text, outputs, text_feats)\n", + "make_term_table(top_terms)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Overall, we find an average held-out correlation of $.77$ with the brand demographics from QuantCast. This is rather surprising, given that we're only considering 120 followers of a brand." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Next, we validate against a list of users manually labeled by race, gender, and political preference." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "** Race experiments **" + ] + }, + { + "cell_type": "code", + "execution_count": 309, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "if False: # parse raw tweets\n", + " race_users_text = []\n", + " X_race_text = text_vec.transform(text for theid, text in extract_tweets('data/labeled_tweets.json.gz', 'screen_name')\n", + " if not race_users_text.append(theid))\n", + " cPickle.dump((race_users_text, X_race_text), open('data/race_text_data.pkl', 'wb'))\n", + "else: # unpickle\n", + " race_users_text, X_race_text = cPickle.load(open('data/race_text_data.pkl', 'rb'))" + ] + }, + { + "cell_type": "code", + "execution_count": 310, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(509, 112642)\n", + "[u'0412cristian', u'14feernandaa', u'1dtampa', u'24baumann', u'2throwedyoungin', u'4ever_moore', u'4theluvofalicia', u'8a_juanpp', u'__dtdm__', u'__kayshaa']\n" + ] + } + ], + "source": [ + "print X_race_text.shape\n", + "print race_users_text[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 311, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# Read follower features.\n", + "from collections import Counter\n", + "\n", + "def map_race_label(label):\n", + " return ['white', 'latin', 'black'].index(label)\n", + "\n", + "def read_labeled_data_fol(fname, label_map_f, vec):\n", + " users = []\n", + " labels = []\n", + " friends = []\n", + " for line in open(fname):\n", + " parts = line.strip().split()\n", + " if len(parts) > 10:\n", + " users.append(parts[0])\n", + " labels.append(label_map_f(parts[1]))\n", + " friends.append(Counter([int(x) for x in parts[2:]]))\n", + " X_race = vec.transform(friends)\n", + " return users, npa(labels), X_race\n", + "\n", + "race_users_fol, y_race, X_race_fol = read_labeled_data_fol('data/race.txt', map_race_label, vec)" + ] + }, + { + "cell_type": "code", + "execution_count": 312, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['surnpolitics', 'livingpeace_', 'julianpatrickr', 'jmdheisman', 'frm_atlanta', 'prettygiirl_ri', 'bitchesloveshan', 'g_luminati93', 'golden_ovo', 'welsh_boyy']\n", + "race distribution: [(0, 265), (2, 221), (1, 129)]\n" + ] + } + ], + "source": [ + "print race_users_fol[:10]\n", + "print 'race distribution:', Counter(y_race).most_common(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 313, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "509 users from text, 615 from followers, 509 on both\n" + ] + } + ], + "source": [ + "# sort text and follower instances to be in same order.\n", + "race_users = sorted(list(set(race_users_text) & set(race_users_fol)))\n", + "print len(race_users_text), 'users from text, ', len(race_users_fol), 'from followers, ', len(race_users), 'on both'\n", + "X_race_fol2 = X_race_fol[[race_users_fol.index(u) for u in race_users]]\n", + "y_race2 = y_race[[race_users_fol.index(u) for u in race_users]]\n", + "X_race_text2 = X_race_text[[race_users_text.index(u) for u in race_users]]" + ] + }, + { + "cell_type": "code", + "execution_count": 314, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(509, 46649)\n", + "(509, 112642)\n", + "(509, 159291)\n", + "509\n" + ] + } + ], + "source": [ + "X_race_both2 = scipy.sparse.hstack((X_race_fol2, X_race_text2)).tocsr()\n", + "print X_race_fol2.shape\n", + "print X_race_text2.shape\n", + "print X_race_both2.shape\n", + "print len(y_race2)" + ] + }, + { + "cell_type": "code", + "execution_count": 511, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import random\n", + "from sklearn.linear_model import LogisticRegression\n", + "from sklearn.metrics import accuracy_score, confusion_matrix, f1_score\n", + "from sklearn.utils.extmath import safe_sparse_dot\n", + "from sklearn.preprocessing import normalize\n", + "\n", + "def label_by_clf(X_race, y_race, pct):\n", + " clf = LogisticRegression()\n", + " cv = KFold(len(y_race), 3, shuffle=True, random_state=123456)\n", + " preds = np.zeros(len(y_race), int)\n", + " for train, test in cv:\n", + " train = random.sample(train, int(len(train) * pct))\n", + " clf.fit(X_race[train], y_race[train])\n", + " preds[test] = clf.predict(X_race[test])\n", + " return preds\n", + "\n", + "def label_by_reg_helper(X, m, label_indices=None, standardize_coef=True, rm_neg_coef=True):\n", + " \"\"\" Scale coefficients per class to make them comparable;\n", + " then keep only positive coefficients. \"\"\"\n", + " if not label_indices:\n", + " label_indices = range(len(m.coef_))\n", + " coef = m.coef_[label_indices]\n", + " if standardize_coef:\n", + " coef = scale(coef, axis=0) # Scale by class label\n", + " if rm_neg_coef:\n", + " for i in range(len(coef)):\n", + " topi = np.where(coef[i] > 0)\n", + " topv = coef[i][topi]\n", + " coef[i] = [0] * len(coef[i])\n", + " coef[i][topi] = topv\n", + " return safe_sparse_dot(coef, X.T, dense_output=True).T\n", + "\n", + "def label_by_reg(X, m, label_indices=None, standardize_coef=True, rm_neg_coef=True):\n", + " probs = label_by_reg_helper(X, m, label_indices, standardize_coef, rm_neg_coef)\n", + " return np.argmax(probs, axis=1)\n", + "\n", + "def label_by_reg_both(X1, X2, m1, m2, label_indices=None, standardize_coef=True, rm_neg_coef=True):\n", + " \"\"\" Combine two regression models by scaling their outputted dot products and summing. \"\"\"\n", + " probs1 = label_by_reg_helper(X1, m1, label_indices, standardize_coef, rm_neg_coef)\n", + " probs2 = label_by_reg_helper(X2, m2, label_indices, standardize_coef, rm_neg_coef)\n", + " probs1 = scale(probs1)\n", + " probs2 = scale(probs2)\n", + " return np.argmax(probs1 + probs2, axis=1)\n", + "\n", + "\n", + "def eval_labeled(truth, pred, labels):\n", + " label_idx = np.arange(len(labels))\n", + " acc, f1 = (accuracy_score(pred, truth),\n", + " f1_score(truth, pred, labels=label_idx,\n", + " average='macro', pos_label=None))\n", + " print 'acc=', acc, 'f1=', f1\n", + " # print confusion_matrix(truth, pred)\n", + " return f1" + ] + }, + { + "cell_type": "code", + "execution_count": 331, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "training race model on 1035 brands\n", + "training race model on 1035 brands\n", + "training race model on 1035 brands\n" + ] + } + ], + "source": [ + "# Retrain race models from distant supervision\n", + "def train_demo_model(X, ylabels, id2brand, model_f):\n", + " indices = [i for i, bid in enumerate(brand_ids) if len(set(ylabels) & set(id2brand[bid]['demo'].keys())) == len(ylabels)]\n", + " print 'training race model on', len(indices), 'brands'\n", + " y = npa([get_yvalues(ylabels, id2brand[brand_ids[bid]]['demo']) for bid in indices])\n", + " m = model_f() # MultiTaskElasticNet(alpha=1e-5, l1_ratio=0.5)\n", + " m.fit(X[indices], scale(y))\n", + " return m\n", + "\n", + "race_labels = ['Caucasian', 'Hispanic', 'African American']\n", + "race_model_fol = train_demo_model(X, race_labels, id2brand, get_model_fol)\n", + "race_model_text = train_demo_model(X_text, race_labels, id2brand, get_model_text)\n", + "race_model_both = train_demo_model(X_both2, race_labels, id2brand, get_model_both)" + ] + }, + { + "cell_type": "code", + "execution_count": 448, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def eval_labeled_all(y, X_fol, X_text, X_both, labels, label_indices, \n", + " model_fol, model_text, model_both,\n", + " standardize_coef, rem_neg_coef): \n", + " f1s = []\n", + " print 'distant, followers:'\n", + " f1s.append(eval_labeled(y, label_by_reg(X_fol, model_fol, label_indices, standardize_coef, rem_neg_coef), labels))\n", + " print 'distant, text:'\n", + " f1s.append(eval_labeled(y, label_by_reg(X_text, model_text, label_indices, standardize_coef, rem_neg_coef), labels)) \n", + " print 'distant, both (two models):'\n", + " f1s.append(eval_labeled(y, label_by_reg_both(X_fol, X_text, model_fol, model_text, label_indices, standardize_coef, rem_neg_coef), labels)) \n", + " print 'distant, both (single model):'\n", + " f1s.append(eval_labeled(y, label_by_reg(X_both, model_both, label_indices, standardize_coef, rem_neg_coef), labels)) \n", + " print 'max f1=', max(f1s), 'avg f1=', np.mean(f1s)\n", + "\n", + "def eval_labeled_all_sup(y, X_fol, X_text, X_both, labels):\n", + " f1s = []\n", + " print 'supervised, followers:'\n", + " f1s.append(eval_labeled(y, label_by_clf(X_fol, y, 1), labels))\n", + " print 'supervised, text:'\n", + " f1s.append(eval_labeled(y, label_by_clf(X_text, y, 1), labels))\n", + " print 'supervised, both:'\n", + " f1s.append(eval_labeled(y, label_by_clf(X_both, y, 1), labels))\n", + " print 'max f1=', max(f1s), 'avg f1=', np.mean(f1s)" + ] + }, + { + "cell_type": "code", + "execution_count": 398, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "supervised, followers:\n", + "acc= 0.703339882122 f1= 0.675029999056\n", + "supervised, text:\n", + "acc= 0.870333988212 f1= 0.863935615563\n", + "supervised, both:\n", + "acc= 0.870333988212 f1= 0.863935615563\n", + "max f1= 0.863935615563 avg f1= 0.800967076727\n" + ] + } + ], + "source": [ + "eval_labeled_all_sup(y_race2, X_race_fol2, X_race_text2, X_race_both2, race_labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 450, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "std coef= True rem neg= True\n", + "distant, followers:\n", + "acc= 0.650294695481 f1= 0.643488711046\n", + "distant, text:\n", + "acc= 0.56974459725 f1= 0.504410418615\n", + "distant, both (two models):\n", + "acc= 0.766208251473 f1= 0.756225898156\n", + "distant, both (single model):\n", + "acc= 0.571709233792 f1= 0.504694649396\n", + "max f1= 0.756225898156 avg f1= 0.602204919303\n", + "\n", + "std coef= True rem neg= False\n", + "distant, followers:\n", + "acc= 0.607072691552 f1= 0.601224003347\n", + "distant, text:\n", + "acc= 0.86836935167 f1= 0.863567734103\n", + "distant, both (two models):\n", + "acc= 0.819253438114 f1= 0.810673602087\n", + "distant, both (single model):\n", + "acc= 0.583497053045 f1= 0.515628969716\n", + "max f1= 0.863567734103 avg f1= 0.697773577313\n", + "\n", + "std coef= False rem neg= True\n", + "distant, followers:\n", + "acc= 0.666011787819 f1= 0.65247194779\n", + "distant, text:\n", + "acc= 0.689587426326 f1= 0.610944025515\n", + "distant, both (two models):\n", + "acc= 0.75442043222 f1= 0.744424475605\n", + "distant, both (single model):\n", + "acc= 0.563850687623 f1= 0.511660803134\n", + "max f1= 0.744424475605 avg f1= 0.629875313011\n", + "\n", + "std coef= False rem neg= False\n", + "distant, followers:\n", + "acc= 0.630648330059 f1= 0.609954852539\n", + "distant, text:\n", + "acc= 0.654223968566 f1= 0.639973301763\n", + "distant, both (two models):\n", + "acc= 0.821218074656 f1= 0.810939036315\n", + "distant, both (single model):\n", + "acc= 0.607072691552 f1= 0.564007009118\n", + "max f1= 0.810939036315 avg f1= 0.656218549934\n" + ] + } + ], + "source": [ + "# Race results for original regression models.\n", + "for std_coef, rem_neg in [[True, True], [True, False], [False, True], [False, False]]:\n", + " print '\\nstd coef=', std_coef, 'rem neg=', rem_neg\n", + " eval_labeled_all(y_race2, X_race_fol2, X_race_text2, X_race_both2, race_labels, [0,1,2],\n", + " category_results_fol['Ethnicity']['model'],\n", + " category_results_text['Ethnicity']['model'],\n", + " category_results_both2['Ethnicity']['model'],\n", + " standardize_coef=std_coef, rem_neg_coef=rem_neg)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "** Gender experiments **" + ] + }, + { + "cell_type": "code", + "execution_count": 374, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "509 users from text, 213 from followers, 175 on both\n", + "(175, 46649)\n", + "(175, 112642)\n", + "(175, 159291)\n", + "175\n" + ] + } + ], + "source": [ + "def map_gender_label(label):\n", + " return ['Male', 'Female'].index(label)\n", + "\n", + "gender_labels = ['Male', 'Female']\n", + "gender_users_fol, y_gender, X_gender_fol = read_labeled_data_fol('data/gender.txt', map_gender_label, vec)\n", + "gender_users = sorted(list(set(race_users_text) & set(gender_users_fol)))\n", + "print len(race_users_text), 'users from text, ', len(gender_users_fol), 'from followers, ', len(gender_users), 'on both'\n", + "X_gender_fol = X_gender_fol[[gender_users_fol.index(u) for u in gender_users]]\n", + "y_gender = y_gender[[gender_users_fol.index(u) for u in gender_users]]\n", + "X_gender_text = X_race_text[[race_users_text.index(u) for u in gender_users]]\n", + "X_gender_both = scipy.sparse.hstack((X_gender_fol, X_gender_text)).tocsr()\n", + "print X_gender_fol.shape\n", + "print X_gender_text.shape\n", + "print X_gender_both.shape\n", + "print len(y_gender)" + ] + }, + { + "cell_type": "code", + "execution_count": 345, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "training race model on 1066 brands\n", + "training race model on 1066 brands\n", + "training race model on 1066 brands\n" + ] + } + ], + "source": [ + "gender_model_fol = train_demo_model(X, gender_labels, id2brand, get_model_fol)\n", + "gender_model_text = train_demo_model(X_text, gender_labels, id2brand, get_model_text)\n", + "gender_model_both = train_demo_model(X_both2, gender_labels, id2brand, get_model_both)" + ] + }, + { + "cell_type": "code", + "execution_count": 401, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "supervised, followers:\n", + "acc= 0.708571428571 f1= 0.663575709601\n", + "supervised, text:\n", + "acc= 0.851428571429 f1= 0.844476346732\n", + "supervised, both:\n", + "acc= 0.845714285714 f1= 0.838896655188\n", + "max f1= 0.844476346732 avg f1= 0.782316237174\n" + ] + } + ], + "source": [ + "eval_labeled_all_sup(y_gender, X_gender_fol, X_gender_text, X_gender_both, gender_labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 451, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "std coef= True rem neg= True\n", + "distant, followers:\n", + "acc= 0.771428571429 f1= 0.771361379671\n", + "distant, text:\n", + "acc= 0.72 f1= 0.719853637819\n", + "distant, both (two models):\n", + "acc= 0.857142857143 f1= 0.855615326227\n", + "distant, both (single model):\n", + "acc= 0.84 f1= 0.831638262782\n", + "max f1= 0.855615326227 avg f1= 0.794617151625\n", + "\n", + "std coef= True rem neg= False\n", + "distant, followers:\n", + "acc= 0.771428571429 f1= 0.771361379671\n", + "distant, text:\n", + "acc= 0.72 f1= 0.719853637819\n", + "distant, both (two models):\n", + "acc= 0.822857142857 f1= 0.818858726502\n", + "distant, both (single model):\n", + "acc= 0.84 f1= 0.831638262782\n", + "max f1= 0.831638262782 avg f1= 0.785428001693\n", + "\n", + "std coef= False rem neg= True\n", + "distant, followers:\n", + "acc= 0.782857142857 f1= 0.781652219595\n", + "distant, text:\n", + "acc= 0.571428571429 f1= 0.465180717982\n", + "distant, both (two models):\n", + "acc= 0.811428571429 f1= 0.808933002481\n", + "distant, both (single model):\n", + "acc= 0.834285714286 f1= 0.823102931437\n", + "max f1= 0.823102931437 avg f1= 0.719717217874\n", + "\n", + "std coef= False rem neg= False\n", + "distant, followers:\n", + "acc= 0.782857142857 f1= 0.781652219595\n", + "distant, text:\n", + "acc= 0.571428571429 f1= 0.465180717982\n", + "distant, both (two models):\n", + "acc= 0.788571428571 f1= 0.783016654938\n", + "distant, both (single model):\n", + "acc= 0.834285714286 f1= 0.823102931437\n", + "max f1= 0.823102931437 avg f1= 0.713238130988\n" + ] + } + ], + "source": [ + "# Gender results for regression models retrained after scaling y.\n", + "for std_coef, rem_neg in [[True, True], [True, False], [False, True], [False, False]]:\n", + " print '\\nstd coef=', std_coef, 'rem neg=', rem_neg\n", + " eval_labeled_all(y_gender, X_gender_fol, X_gender_text, X_gender_both, gender_labels, [0,1],\n", + " gender_model_fol, gender_model_text, gender_model_both,\n", + " std_coef, rem_neg)" + ] + }, + { + "cell_type": "code", + "execution_count": 452, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "std coef= True rem neg= True\n", + "distant, followers:\n", + "acc= 0.754285714286 f1= 0.754253616799\n", + "distant, text:\n", + "acc= 0.857142857143 f1= 0.85622268231\n", + "distant, both (two models):\n", + "acc= 0.834285714286 f1= 0.832092638544\n", + "distant, both (single model):\n", + "acc= 0.605714285714 f1= 0.553191489362\n", + "max f1= 0.85622268231 avg f1= 0.748940106754\n", + "\n", + "std coef= True rem neg= False\n", + "distant, followers:\n", + "acc= 0.754285714286 f1= 0.754253616799\n", + "distant, text:\n", + "acc= 0.857142857143 f1= 0.85622268231\n", + "distant, both (two models):\n", + "acc= 0.868571428571 f1= 0.865604861598\n", + "distant, both (single model):\n", + "acc= 0.605714285714 f1= 0.553191489362\n", + "max f1= 0.865604861598 avg f1= 0.757318162517\n", + "\n", + "std coef= False rem neg= True\n", + "distant, followers:\n", + "acc= 0.8 f1= 0.798711755233\n", + "distant, text:\n", + "acc= 0.845714285714 f1= 0.838079572324\n", + "distant, both (two models):\n", + "acc= 0.862857142857 f1= 0.860853432282\n", + "distant, both (single model):\n", + "acc= 0.668571428571 f1= 0.645104895105\n", + "max f1= 0.860853432282 avg f1= 0.785687413736\n", + "\n", + "std coef= False rem neg= False\n", + "distant, followers:\n", + "acc= 0.8 f1= 0.798711755233\n", + "distant, text:\n", + "acc= 0.845714285714 f1= 0.838079572324\n", + "distant, both (two models):\n", + "acc= 0.857142857143 f1= 0.854848876945\n", + "distant, both (single model):\n", + "acc= 0.668571428571 f1= 0.645104895105\n", + "max f1= 0.854848876945 avg f1= 0.784186274902\n" + ] + } + ], + "source": [ + "# Gender results for original regression models\n", + "for std_coef, rem_neg in [[True, True], [True, False], [False, True], [False, False]]:\n", + " print '\\nstd coef=', std_coef, 'rem neg=', rem_neg\n", + " eval_labeled_all(y_gender, X_gender_fol, X_gender_text, X_gender_both, gender_labels, [0,1],\n", + " category_results_fol['Gender']['model'],\n", + " category_results_text['Gender']['model'],\n", + " category_results_both2['Gender']['model'],\n", + " std_coef, rem_neg)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "** Politics experiments. **" + ] + }, + { + "cell_type": "code", + "execution_count": 486, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def parse_tsv(tsv_file, id_idx, text_idx, label_idx):\n", + " for line in io.open(tsv_file, encoding='utf8'):\n", + " parts = line.split('\\t')\n", + " yield (parts[id_idx], parts[text_idx], parts[label_idx])\n", + " \n", + "def extract_tweets_tsv(tsv_file, id_idx=0, text_idx=4, label_idx=2, min_tweets=0):\n", + " \"\"\" Yield screen_name, string tuples, where the string is the\n", + " concatenation of all tweets of this user. \"\"\"\n", + " for user_id, tweet_iter in groupby(parse_tsv(tsv_file, id_idx, text_idx, label_idx), lambda x: x[0]):\n", + " tweets = [(t[1], t[2]) for t in tweet_iter]\n", + " if len(tweets) >= min_tweets:\n", + " yield user_id, ' '.join(t[0] for t in tweets), tweets[0][1]\n", + "\n", + "if True: # parse raw tweets\n", + " pol_users_text = []\n", + " y_pol = []\n", + " X_pol_text = text_vec.transform(text for theid, text, label in\n", + " extract_tweets_tsv('data/geo-centric.user.time.tsv')\n", + " if not pol_users_text.append(theid) and\n", + " not y_pol.append(label))\n", + " y_pol = npa(y_pol)\n", + " cPickle.dump((pol_users_text, X_pol_text, y_pol), open('data/pol_text_data.pkl', 'wb'))\n", + "else: # unpickle\n", + " pol_users_text, X_pol_text, y_pol = cPickle.load(open('data/pol_text_data.pkl', 'rb'))" + ] + }, + { + "cell_type": "code", + "execution_count": 487, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(413, 112642)\n", + "817\n", + "413\n", + "[(u'Democratic', 230), (u'Republican', 183)]\n", + "26689553\n" + ] + } + ], + "source": [ + "print X_pol_text.shape\n", + "print X_pol_text[0].nnz\n", + "print len(pol_users_text)\n", + "print Counter(y_pol).most_common(2)\n", + "print pol_users_text[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 488, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def map_pol_label(label):\n", + " return ['Democratic', 'Republican'].index(label)\n", + "\n", + "def read_labeled_data_fol_pol(fname, vec):\n", + " users = []\n", + " labels = []\n", + " friends = []\n", + " for line in io.open(fname, encoding='utf8'):\n", + " js = json.loads(line)\n", + " if 'ids' in js:\n", + " users.append(js['user_id'])\n", + " friends.append(Counter(int(x) for x in js['ids']))\n", + " X_pol = vec.transform(friends)\n", + " return users, X_pol\n", + "\n", + "pol_users_fol, X_pol_fol = read_labeled_data_fol_pol('data/geo-ids-fol.json', vec)" + ] + }, + { + "cell_type": "code", + "execution_count": 489, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(366, 46649)\n", + "221\n", + "26689553\n" + ] + } + ], + "source": [ + "print X_pol_fol.shape\n", + "print X_pol_fol[0].nnz\n", + "print pol_users_fol[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 490, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "413 users from text, 366 from followers, 366 on both\n" + ] + } + ], + "source": [ + "# sort text and follower instances to be in same order.\n", + "pol_users = sorted(list(set(pol_users_text) & set(pol_users_fol)))\n", + "print len(pol_users_text), 'users from text, ', len(pol_users_fol), 'from followers, ', len(pol_users), 'on both'\n", + "X_pol_fol = X_pol_fol[[pol_users_fol.index(u) for u in pol_users]]\n", + "y_pol = y_pol[[pol_users_text.index(u) for u in pol_users]]\n", + "X_pol_text = X_pol_text[[pol_users_text.index(u) for u in pol_users]]" + ] + }, + { + "cell_type": "code", + "execution_count": 491, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(366, 46649)\n", + "(366, 112642)\n", + "(366, 159291)\n", + "366\n" + ] + } + ], + "source": [ + "X_pol_both = scipy.sparse.hstack((X_pol_fol, X_pol_text)).tocsr()\n", + "print X_pol_fol.shape\n", + "print X_pol_text.shape\n", + "print X_pol_both.shape\n", + "print len(y_pol)" + ] + }, + { + "cell_type": "code", + "execution_count": 503, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Map from labels to indices.\n", + "y_pol = np.array([map_pol_label(x) for x in y_pol])" + ] + }, + { + "cell_type": "code", + "execution_count": 513, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "supervised, followers:\n", + "acc= 0.833333333333 f1= 0.831000628279\n", + "supervised, text:\n", + "acc= 0.734972677596 f1= 0.725206083827\n", + "supervised, both:\n", + "acc= 0.860655737705 f1= 0.857192040212\n", + "max f1= 0.857192040212 avg f1= 0.804466250772\n" + ] + } + ], + "source": [ + "pol_labels = ['Democratic', 'Republican']\n", + "eval_labeled_all_sup(y_pol, X_pol_fol, X_pol_text, X_pol_both, pol_labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 512, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "std coef= True rem neg= True\n", + "distant, followers:\n", + "acc= 0.808743169399 f1= 0.79863556338\n", + "distant, text:\n", + "acc= 0.584699453552 f1= 0.58189033189\n", + "distant, both (two models):\n", + "acc= 0.762295081967 f1= 0.760577465318\n", + "distant, both (single model):\n", + "acc= 0.767759562842 f1= 0.757580007948\n", + "max f1= 0.79863556338 avg f1= 0.724670842134\n", + "\n", + "std coef= True rem neg= False\n", + "distant, followers:\n", + "acc= 0.808743169399 f1= 0.7991470413\n", + "distant, text:\n", + "acc= 0.581967213115 f1= 0.578946576939\n", + "distant, both (two models):\n", + "acc= 0.748633879781 f1= 0.744234800839\n", + "distant, both (single model):\n", + "acc= 0.767759562842 f1= 0.75813787152\n", + "max f1= 0.7991470413 avg f1= 0.720116572649\n", + "\n", + "std coef= False rem neg= True\n", + "distant, followers:\n", + "acc= 0.819672131148 f1= 0.808066361556\n", + "distant, text:\n", + "acc= 0.650273224044 f1= 0.55969924812\n", + "distant, both (two models):\n", + "acc= 0.762295081967 f1= 0.757956748128\n", + "distant, both (single model):\n", + "acc= 0.647540983607 f1= 0.64747519245\n", + "max f1= 0.808066361556 avg f1= 0.693299387564\n", + "\n", + "std coef= False rem neg= False\n", + "distant, followers:\n", + "acc= 0.825136612022 f1= 0.815413711584\n", + "distant, text:\n", + "acc= 0.66393442623 f1= 0.659663579664\n", + "distant, both (two models):\n", + "acc= 0.726775956284 f1= 0.71973780936\n", + "distant, both (single model):\n", + "acc= 0.674863387978 f1= 0.674316351482\n", + "max f1= 0.815413711584 avg f1= 0.717282863022\n" + ] + } + ], + "source": [ + "# Pol results for original regression models.\n", + "for std_coef, rem_neg in [[True, True], [True, False], [False, True], [False, False]]:\n", + " print '\\nstd coef=', std_coef, 'rem neg=', rem_neg\n", + " eval_labeled_all(y_pol, X_pol_fol, X_pol_text, X_pol_both, pol_labels, [0,1],\n", + " category_results_fol['Politics']['model'],\n", + " category_results_text['Politics']['model'],\n", + " category_results_both2['Politics']['model'],\n", + " standardize_coef=std_coef, rem_neg_coef=rem_neg)" + ] + }, + { + "cell_type": "code", + "execution_count": 594, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "acc= 0.607072691552 f1= 0.601224003347\n", + "acc= 0.86836935167 f1= 0.863567734103\n", + "acc= 0.819253438114 f1= 0.810673602087\n", + "acc= 0.754285714286 f1= 0.754253616799\n", + "acc= 0.857142857143 f1= 0.85622268231\n", + "acc= 0.868571428571 f1= 0.865604861598\n", + "acc= 0.808743169399 f1= 0.7991470413\n", + "acc= 0.581967213115 f1= 0.578946576939\n", + "acc= 0.748633879781 f1= 0.744234800839\n", + "{'Text': defaultdict(, {'Gender': 0.85622268230963883, 'Ethnicity': 0.8635677341034117, 'Politics': 0.57894657693898266}), 'Friends+Text': defaultdict(, {'Gender': 0.86560486159805006, 'Ethnicity': 0.81067360208666484, 'Politics': 0.74423480083857441}), 'Friends': defaultdict(, {'Gender': 0.75425361679892877, 'Ethnicity': 0.60122400334659531, 'Politics': 0.79914704129950764})}\n" + ] + } + ], + "source": [ + "# Collect all the distantly supervised results.\n", + "reg_res = {'Friends': defaultdict(dict),\n", + " 'Text': defaultdict(dict),\n", + " 'Friends+Text': defaultdict(dict)\n", + " }\n", + "\n", + "reg_res['Friends']['Ethnicity'] = eval_labeled(y_race2,\n", + " label_by_reg(X_race_fol2,\n", + " category_results_fol['Ethnicity']['model'],\n", + " [0,1,2], True, False),\n", + " race_labels)\n", + "reg_res['Text']['Ethnicity'] = eval_labeled(y_race2,\n", + " label_by_reg(X_race_text2,\n", + " category_results_text['Ethnicity']['model'],\n", + " [0,1,2], True, False),\n", + " race_labels)\n", + "reg_res['Friends+Text']['Ethnicity'] = eval_labeled(y_race2,\n", + " label_by_reg_both(X_race_fol2, X_race_text2, \n", + " category_results_fol['Ethnicity']['model'],\n", + " category_results_text['Ethnicity']['model'],\n", + " [0,1,2], True, False),\n", + " race_labels)\n", + "\n", + "\n", + "reg_res['Friends']['Gender'] = eval_labeled(y_gender,\n", + " label_by_reg(X_gender_fol,\n", + " category_results_fol['Gender']['model'],\n", + " [0,1], True, False),\n", + " gender_labels)\n", + "reg_res['Text']['Gender'] = eval_labeled(y_gender,\n", + " label_by_reg(X_gender_text,\n", + " category_results_text['Gender']['model'],\n", + " [0,1], True, False),\n", + " gender_labels)\n", + "reg_res['Friends+Text']['Gender'] = eval_labeled(y_gender,\n", + " label_by_reg_both(X_gender_fol, X_gender_text, \n", + " category_results_fol['Gender']['model'],\n", + " category_results_text['Gender']['model'],\n", + " [0,1], True, False),\n", + " gender_labels)\n", + "\n", + "reg_res['Friends']['Politics'] = eval_labeled(y_pol,\n", + " label_by_reg(X_pol_fol,\n", + " category_results_fol['Politics']['model'],\n", + " [0,1], True, False),\n", + " pol_labels)\n", + "reg_res['Text']['Politics'] = eval_labeled(y_pol,\n", + " label_by_reg(X_pol_text,\n", + " category_results_text['Politics']['model'],\n", + " [0,1], True, False),\n", + " pol_labels)\n", + "reg_res['Friends+Text']['Politics'] = eval_labeled(y_pol,\n", + " label_by_reg_both(X_pol_fol, X_pol_text, \n", + " category_results_fol['Politics']['model'],\n", + " category_results_text['Politics']['model'],\n", + " [0,1], True, False),\n", + " pol_labels)\n", + "\n", + "print reg_res" + ] + }, + { + "cell_type": "code", + "execution_count": 533, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PCT= 0.1\n", + "acc= 0.487229862475 f1= 0.412215146726\n", + "acc= 0.693516699411 f1= 0.71483266312\n", + "acc= 0.805500982318 f1= 0.808471580257\n", + "acc= 0.48 f1= 0.477543387684\n", + "acc= 0.565714285714 f1= 0.531953828829\n", + "acc= 0.634285714286 f1= 0.62395917271\n", + "acc= 0.704918032787 f1= 0.671966804979\n", + "acc= 0.532786885246 f1= 0.531524383398\n", + "acc= 0.584699453552 f1= 0.584500941057\n", + "PCT= 0.2\n", + "acc= 0.618860510806 f1= 0.526039734032\n", + "acc= 0.842829076621 f1= 0.840793575815\n", + "acc= 0.85068762279 f1= 0.850997483277\n", + "acc= 0.6 f1= 0.468684941013\n", + "acc= 0.737142857143 f1= 0.72619047619\n", + "acc= 0.777142857143 f1= 0.757333333333\n", + "acc= 0.830601092896 f1= 0.824169352839\n", + "acc= 0.639344262295 f1= 0.621248706451\n", + "acc= 0.628415300546 f1= 0.568889658756\n", + "PCT= 0.3\n", + "acc= 0.611001964637 f1= 0.563932199838\n", + "acc= 0.854616895874 f1= 0.853781824353\n", + "acc= 0.856581532417 f1= 0.851807336062\n", + "acc= 0.6 f1= 0.591666666667\n", + "acc= 0.8 f1= 0.794745484401\n", + "acc= 0.771428571429 f1= 0.739815640797\n", + "acc= 0.808743169399 f1= 0.798108747045\n", + "acc= 0.595628415301 f1= 0.519105113636\n", + "acc= 0.625683060109 f1= 0.564690459861\n", + "PCT= 0.4\n", + "acc= 0.644400785855 f1= 0.616277509393\n", + "acc= 0.842829076621 f1= 0.843624238243\n", + "acc= 0.844793713163 f1= 0.84280446102\n", + "acc= 0.685714285714 f1= 0.670162091772\n", + "acc= 0.788571428571 f1= 0.785176337879\n", + "acc= 0.748571428571 f1= 0.727182539683\n", + "acc= 0.819672131148 f1= 0.815349334964\n", + "acc= 0.66393442623 f1= 0.635029631852\n", + "acc= 0.693989071038 f1= 0.67610619469\n", + "PCT= 0.5\n", + "acc= 0.650294695481 f1= 0.609453422293\n", + "acc= 0.866404715128 f1= 0.861889318057\n", + "acc= 0.870333988212 f1= 0.864084275006\n", + "acc= 0.645714285714 f1= 0.560657596372\n", + "acc= 0.817142857143 f1= 0.811218985976\n", + "acc= 0.794285714286 f1= 0.781067556297\n", + "acc= 0.806010928962 f1= 0.800087701078\n", + "acc= 0.669398907104 f1= 0.638502289665\n", + "acc= 0.693989071038 f1= 0.668220668221\n", + "PCT= 0.6\n", + "acc= 0.705304518664 f1= 0.677372778296\n", + "acc= 0.844793713163 f1= 0.843094294877\n", + "acc= 0.864440078585 f1= 0.860095310352\n", + "acc= 0.697142857143 f1= 0.643282950656\n", + "acc= 0.845714285714 f1= 0.839662017714\n", + "acc= 0.805714285714 f1= 0.795560747664\n", + "acc= 0.808743169399 f1= 0.806190994916\n", + "acc= 0.715846994536 f1= 0.697559115179\n", + "acc= 0.677595628415 f1= 0.654827365729\n", + "PCT= 0.7\n", + "acc= 0.697445972495 f1= 0.662821042159\n", + "acc= 0.874263261297 f1= 0.868333038706\n", + "acc= 0.860510805501 f1= 0.855836108489\n", + "acc= 0.657142857143 f1= 0.625321153297\n", + "acc= 0.828571428571 f1= 0.821428571429\n", + "acc= 0.817142857143 f1= 0.808586272901\n", + "acc= 0.846994535519 f1= 0.844952795933\n", + "acc= 0.729508196721 f1= 0.709967902282\n", + "acc= 0.710382513661 f1= 0.693457648546\n", + "PCT= 0.8\n", + "acc= 0.677799607073 f1= 0.645258044752\n", + "acc= 0.872298624754 f1= 0.868161413699\n", + "acc= 0.866404715128 f1= 0.861561167064\n", + "acc= 0.708571428571 f1= 0.663575709601\n", + "acc= 0.845714285714 f1= 0.838079572324\n", + "acc= 0.822857142857 f1= 0.814091360817\n", + "acc= 0.830601092896 f1= 0.828116951977\n", + "acc= 0.707650273224 f1= 0.694111398377\n", + "acc= 0.754098360656 f1= 0.747307373654\n", + "PCT= 0.9\n", + "acc= 0.715127701375 f1= 0.683381310552\n", + "acc= 0.872298624754 f1= 0.866666666667\n", + "acc= 0.872298624754 f1= 0.865741706015\n", + "acc= 0.697142857143 f1= 0.646922227721\n", + "acc= 0.822857142857 f1= 0.813092161929\n", + "acc= 0.84 f1= 0.832512988789\n", + "acc= 0.827868852459 f1= 0.825681345681\n", + "acc= 0.732240437158 f1= 0.722074138359\n", + "acc= 0.732240437158 f1= 0.718805857819\n", + "PCT= 1.0\n", + "acc= 0.703339882122 f1= 0.675029999056\n", + "acc= 0.870333988212 f1= 0.863935615563\n", + "acc= 0.870333988212 f1= 0.863935615563\n", + "acc= 0.708571428571 f1= 0.663575709601\n", + "acc= 0.851428571429 f1= 0.844476346732\n", + "acc= 0.851428571429 f1= 0.844476346732\n", + "acc= 0.833333333333 f1= 0.831000628279\n", + "acc= 0.734972677596 f1= 0.725206083827\n", + "acc= 0.734972677596 f1= 0.725206083827\n" + ] + } + ], + "source": [ + "pcts = [.1, .2, .3, .4, .5, .6, .7, .8, .9, 1.]\n", + "\n", + "sup_res = {'Friends': defaultdict(list),\n", + " 'Text': defaultdict(list),\n", + " 'Friends+Text': defaultdict(list)\n", + " }\n", + "for pct in pcts:\n", + " print 'PCT=', pct\n", + " sup_res['Friends']['Ethnicity'].append(eval_labeled(y_race2, label_by_clf(X_race_fol2, y_race2, pct), race_labels))\n", + " sup_res['Text']['Ethnicity'].append(eval_labeled(y_race2, label_by_clf(X_race_text2, y_race2, pct), race_labels))\n", + " sup_res['Friends+Text']['Ethnicity'].append(eval_labeled(y_race2, label_by_clf(X_race_text2, y_race2, pct), race_labels))\n", + "\n", + " sup_res['Friends']['Gender'].append(eval_labeled(y_gender, label_by_clf(X_gender_fol, y_gender, pct), gender_labels))\n", + " sup_res['Text']['Gender'].append(eval_labeled(y_gender, label_by_clf(X_gender_text, y_gender, pct), gender_labels))\n", + " sup_res['Friends+Text']['Gender'].append(eval_labeled(y_gender, label_by_clf(X_gender_text, y_gender, pct), gender_labels))\n", + "\n", + " sup_res['Friends']['Politics'].append(eval_labeled(y_pol, label_by_clf(X_pol_fol, y_pol, pct), pol_labels))\n", + " sup_res['Text']['Politics'].append(eval_labeled(y_pol, label_by_clf(X_pol_text, y_pol, pct), pol_labels))\n", + " sup_res['Friends+Text']['Politics'].append(eval_labeled(y_pol, label_by_clf(X_pol_text, y_pol, pct), pol_labels))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 657, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "data": { + "image/png": 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uA4DOobauVtnl2coqy1JWeVb917IsZZZl6svkL6Vrm9gxTlr333Va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\n8t0nOjr/T3gHBQXpxIkTioiI0PDhw4szJgqQM5OloFkr6enpcnd3v61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XLK68sdjxtuv7jeTUEaAORATlUObttwW6MmlVzldGDf6aC+mwP49seeDuJfv82GxSJXxZ2WjMgx\nWU2OAoi92HF9EcTRbnZdLLm+rcZc0+Tn6iP3ga/KF34qP/gp/eCn8nN8rVAoPL7/YX5h+Pudf3e8\nl1qF1uX71vDSkx3J4762iZNKHCdnyMUrOWzUbESpUCrKvlYmNLzwKxG1ucLCQphMJrFjtIper0dJ\niXTPuJJ6fkD6fWB+cTG/uKScX6VSoVs36RwoP3++CHV1Zpdt3jDZt6dJme3fJ9402bc79n48+Zcn\nsV6x3vU/XxeBe6rvx/LnVrrchjf1w87Vz2p7fR615hrkVGUiuyoDBdYLyCjPQHp5OjLLM1FWX+ZY\nLtI/ElF+MYjy64No/xhE+8egl38fRPj2wKxfTULG9HPuzzL8Kgb/fPufSC9Px8+X05FVmY7sqnTk\nVmc7LufgrwxAr4A+6Bscg37BfdBX1xd9dH3QO7A3NEpNk/1o6EY/j9BQHSwWz78rW/J5WAUrMssz\ncaLohOMSYGnFaag110IGGWIC+iE+eCgGBQ/FwOAhiA0aCLVC06J+lJQUYcXby5F27iigEACLDAlx\nQ7HsGc8HP73l5/zKleJG+Qf1T8RTjyYhLMzglZPIX3vtYkyfP912AC4S1wpFeUDP1F746I1t0OtD\nPP7eFbMfDX9/JoYn4siiIx7X9zZS+t/W6aSAHnCcFIA8IPpQtNfPUSH1/NfriL+La821OFd6zmmE\nytnSs7hScwWArYjQV9cXccFxiNXHIi44DnH6OPTw79HoYHZTf+vMsczx6ktvjb9vPM5PdT8ioecX\nPbHynZVO83I0vHd36SqX92bnwpHRamxRVqfiwtX7rLeyUH9/vdv8yk+V8F/ojxpTTbNez1d5tSCi\n8nN+rPJ1FEkattmfdxRSrhZT7F/7Kn3ho/Bx+3pNvf/9dvTD7k27m/0edTRP+1op/P4Rc1/LES1E\nREREJGk6nQCTqXWTNavVgFp9YxM92w7m3di5S00dHG1Ke/XDZDWhoKYA+dX5uFx+GfnZ+fj68NfA\nTDcbiQT2b/4W3xb/FwaNAQatASGaEBi0BmiV7idEb+9+tNSNfB5mqxmX6i4iozrDMTrFfrtUfe3s\ndp1ahz5BfdA3qC8mR01GTFAMYoJi0Duot8f36uaEocjIPef2LMObB92MEREjMCJiBBB3rcloMSK7\nIhvp5elIL0tHenk6LpRdwO68XY4ijwwy9PDvgb66vojRxdjy6fqiT1AfhPmGteqsyqY+j6AgoKlj\nb+4+D/ulXw5eOoYThbbCyomiE6gwVgAAegX2QkJIAqb0moKh3YZikGEQ/H38XWyp6c+7YT8MBj3e\nemUFgJYdPPSWn/PAQE/5m/7ZEbMfBoMB29Zts53lv+O6s/w/ToLBoEdzPk/btjq+H0lPJSF1fiqy\nkQ2E3dDLUxO8dY4KQRAgQIBVsDru7fMn2B8LELDkn0u8Mr83MFvNyCjPcBRS7IWV7IpsCBAggwzR\ngdGIDY7F3Ni5iA2OxQD9APQO6g2VXNWs13D6WXVxoNnbRy82NSJhVMIojIwY2S6vbbFaHIWXWnOt\n6/lEzI3nFGk418gl5SXUy+pdv4Ac8Ff7438T/hd+Kj9oVVrnYsl1xROtUtvhl0S7kREh3sDjvnad\n94+oE3NfyxEtRO1MSmf9XE/KZ2MD0s8PSL8PzC8u5heXlPNLbUQL97UtJwgCKk2VuFx9GZerLyO/\nJt92X227v1xje76otghCgwOvGoUG5v+YYZ7regQRAMg+kUF4oPG/GFql1lZ8uVqAcXl/9RaiDYGv\nyrdd+g7c+OVYBEFAYW2h06W+7LfsimyYrLbvR41Cg95BvR1FlIY3vcbzJYc8ZW/rswxL6kqQXmYr\nvKSXpzuKMdkV2TALts/aX+WPmKAYWxEmyFaE6aPrg5igmGYV0a7vQ2ve/6LaIscoleOFx3G86DiK\naosAAOF+4RgaMhQJ3RIwtNtQJIQkIFgT3KJcrSHl3/UA84vB/v1fb6nH5g+bvka/N5HS/rapM8rV\n69Xo+1hfp8JHU8UPq2CFIDQukggQmnzeCqvjtZrlPwDmwW1+7QYtJj0zCcGaYOjUOgSrgxGsCW50\nH+QTBIVc0cp38ca0xb42ryrPaXTK6ZLTSC9Ld4xiCNWGOo1OidPHob+uf5v8DSHlS7dJfUQCR4R4\nF+5rm48jWoiIiIiIOlB7/+NusVpQUFvgKKLYiyb51fm4XHOtmHL99af1Gj3CfcMR7heOhJAE3Bl9\np+PrcL9whPuGQ6fWYcI2zxNk9g3qi5RfpaCkrgTFdcUori12ui+pK0FRbREyKzJx+MphlNSVoNxY\n3mhTGoXGuQDj6nGD5/xUfs0acdGSCVYrjZXILM90XOKrYUGlylQFwDZRaU//nuij64NxPcY5Cil9\ngvogwi+izc+ibI+zDPUaPfThegwPH+70vMlqQnZFNjLKM2xFmKsjYXbn7kZJne0fbhlkiPSPdIx+\nsY+Esff/+s+kue9/eX05ThSdcBRVjhUec4wIClYHY2i3oXgw7kEM7TYUQ7oNQZgvhweQNBgMBrya\n/CpUquadWU8tU15fju1Z25FbletxjgQfpQ9uDrsZcsghk8kgk8kghxxymdzpMWRo9LxMJoMMMshl\ncsdNhqvbuPq4Jc83bLM/v2TzElyRXXGbXy6Xo9xYjqyKLJTWl6K0rtTlvBIyyBCkDrIVY64WYBo+\ndtxfV6DxVfre0NwQLZ3MvKSupNHE9GdLzzr2tQGqAMTqYzEsdBgejHsQscGxiNPHtfqkheaw/6wC\n0jvQLPURCRwRQjdKrH0tR7QQtTMpnfVzPan9MXE9qecHpN8H5hcX84tLyvk5oqX93Og112tMNY0K\nJk7FlJp8FNYUOubiAGyTdYb5hjkVTML9whHhF4EIvwiE+4YjzC8MaoWHyQgaaI/rlhstxmuFGRfF\nGcf91UJNw/lM7NQKtVPxRa/RI0Qb4lSc0Wv0WP3P1fhK+5Xb/L3zeiNsRhgyyjNQUFvgaOqm7YY+\nQX0ajUyJCoxq9nvXHsT6XVNSV2IrPpVlOC5Dll6ejqzyLMcoGD+Vn6PoZB8Js+lfm/C139du3/+o\n3Cgo7lQgsyITgG0kzeCQwY5RKkO7DUXPgJ6iTA7ripR/1wPMLyap7WsB793f1pprsTN7J7akb8F3\nF7+DyWqC5lMNaufUSvaM+Nac0V9vqUdpXSnK6sscxRf7fVl9mdPXpfXXnrP/zm7IR+7jdrSMuxE0\nOo3OcWmupv5WuLnkZiQ+mOiYmN6+v/WR+9jmUdHHOeZSGaAfgO5+3UX9vS/l3zWA9PJzRIh3kXL+\njt7XckQLEREREVEHaeqa8Yv/bzHm/X6e0wiUhsUU+9wTdkE+QbZiiV84YoNjMa7HOEcxxV5ICdYE\nt+moiva4brmPwsdRCGoOk9VkK8xcN0rGXpQpqStBbmUujhceR3FdsXNh5hBsl2NxJRK4tO8ShvgN\nwejuo53mTQn0CWxxvzozvUYPvUaP4WHOo2DMVjNyKnNwoeyCbSTQ1UuS7cnbg+K6YuAneHz/C/YV\nYF7PeXii2xMY2m0oYoJiOvza6kTk/YwWI3bn7saW9C3Ymb0TNeYaJIYm4rlbnsP0mOl4OetlrM91\nc6BfAmfEt+aMfrVC3aJ9KWC7PFeVqapR8cVVQeZU9SnHc9f/PWLnr/JHsDoYBQcLgPvdvGgkcPiH\nwyjKKcIA/QDMi5vnmEelV1CvZs+jQp0XR4SQVLHQQkRERETUQY6eOmq7hIYrkcDXn3yNr3d+DYVM\ngVDfUNvIE98IjI0c6yioNByR0tK5MdqCN/zzq5KrEOYb1uzLRZmsJpTWlaK4rhgLtixAvizf9YJy\nIDIwEm9OfLMN03YtSrnSUaC6Xll9Ge7YegcuyS65XlkOdA/sjhdHv9jOKYlIiixWCw7kH8CW9C34\nKusrlNWXIS44Dr8b+jvc2+deRAdGO5aV+mTmHZVfJpMhwCcAAT4BiEJUs9czW80ory9vNHKmtN52\nW6tc63Ey89663th7/9426QN1TlK+dBt1XSy0EBERERF1EAssHq8ZHxkQiW0PbkOIJkS0yWubQ2r/\n/KrkKoT6hiLUNxT+Kn9AgNvLsSjgve+71OnUOvgp/fj+E1GzCYKAIwVHsCV9C7ZlbENBbQGiA6Kx\nYMACzOgzA3H6OJfrecNJATfC2/Mr5UrbpTq1rnOk+KagUqh0+7teKePhSCLqfPibjYiIiIiogyig\n8HiQ2Vfpy0m925nUJ1iVOr7/RNQcp0tOY3P6ZmxN34qcyhyE+Ybhnj73YEafGRjabWiz5uuQ2kkB\n15Nyfv6uJ6KuiIUWIiIiIqIO0r9ffx54EJnULycjdXz/icidrIosbEnfgi3pW3C29Cx0ah3u7n03\n7u1zL0aGj/TqkZ7kjL/riagrYqGFiIiIiKgD5Ffn43j/41CuVcI8wcwDDyLx9suxdHZ8/4moocvV\nl7E1Yyu2pG/BscJj8FX64s7oO/Hs8Gcxrsc4+Ch8xI5IrcDf9UTUFbHQQkRERETUzgpqCjDnyzkQ\n/ARsW7cNH7zzAQ88iEjKl2PpDPj+E3VtJXUl+CrzK2xO34yD+QehkqswsedEvDXxLdwRfQe0Sq3Y\nEakN8Hc9EXU1LLQQEREREbWj4tpi3P/l/agx1WDj9I3oFdiLBx6IiKhLqTJWISU7BZvTN+OH3B9g\nhRVju4/FK7e9gim9piBIHSR2RCIiohvCQgsRERERUTsprSvF3K/morS+FJ9N+wy9AnuJHYmIiKhD\n1Jnr8N3F77A5fTO+yfkGdZY63Bx2M14Y9QKm9Z6Gbr7dxI5IRETUZlhooU7jwoUL2LBhA86ePQuL\nxYKoqChMmzYNo0aNavY2ysrK8MUXX+DIkSMoLi6GUqlEaGgoxo0bh0mTJkGlUrVjD4iIiKgzKa8v\nx7zt83C55jI+u/sz9NX1FTsSERFRuzJbzdibtxeb0zdjR9YOVJoqEW+Ix+KbFuOemHvQI6CH2BGJ\niIjaBQst1CmkpaUhOTkZarUao0ePhlarxcGDB7Fy5UoUFxdj2rRpTW6jtLQUzzzzDMrKyhAXF4dh\nw4bBZDLh6NGj+OCDD3Do0CEkJSVBJpN1QI+IiIhIyqqMVZi/Yz5yKnOw/u71iNXHih2JiIioXVgF\nKw5fOYzN6ZvxRcYXKK4rRu/A3vj14F/j3ph70S+4n9gRiYiI2h0LLSR5FosFq1evhkKhwNKlSxEd\nHQ0AmDlzJp577jl88sknGDlyJEJCQjxu55tvvkFZWRnuvvtu/PKXv3Q8v2DBAjz//PNIS0vDmTNn\nMGDAgHbtDxEREUlbjakGC3YswPnS8/j07k8Rb4gXOxIREdENe/iJ30BmVeOpR5MQHGzA6bKfsT13\nM1Jyt+By7SVE+EVgVr9ZmNFnBgaHDHY6SbG+HqiqknvcvsFg9dheUSGDyeT+xEeVSkBgoOBxG8XF\nnjP4+1uhVrtvZz+u6Ur90Os9bsLr+2GxANXVMsl+HhYLUFZm264Uv68a5reTUj9c5beTSj86Cgst\nJHlpaWkoKCjAhAkTHEUWAPD19cV9992Hf/3rX9i9ezdmzZrlcTsVFRUAgMTERKfnlUolEhISkJGR\ngcrKyrbvABEREXUateZaLNy5ECdLTuKTqZ9gSLchYkciIiJqE7m3ZuPo4aPYev9OYFow0DMDqA4B\nTs3G4jvvxhO/GAK5zPXBsJ07NXj0Uc9Hq/PyLnlsf/ppHb78Uuu2/e67a/HOO6Uet5GQEO6x/e23\nSzB9ep3bdvbjmq7Uj88+87gJifRDJ/HPw5ZNut9Xzpmk1Q8Nrs9vJ5V+dBTP5SAiCTh58iQAICEh\noVHbkCG2gxunT59ucjuDBg0CABw5csTpebPZjBMnTsDHxwf9+/e/0bhERETUSdWZ6/Drr3+NIwVH\n8NGdH+GmsJvEjkRERNR2ZAB6Ari7FNgnA9ZtB165BHz5L/TzGeW2yEJERNQVcEQLSd7ly5cBABER\nEY3adDod1Gq1YxlPRowYgZkzZ2Lr1q3IyMhA3759HXO0GI1GPPnkk9DpdG2en4QKpxkAACAASURB\nVIiIiKTPaDFi0beLcDD/INbeuRYjIkaIHYmIiKh99ABwWQ2UTRE7CRERkddgoYUkr6amBoDtUmGu\naLVaxzJNGTFiBDIzM3HkyBGcOXMGACCXyzFlyhSOZiEiIiKXTFYTHtv1GH7I/QHvT34fYyPHih2J\niIio/cgBKMxipyAiIvIqMkEQPM9YQ+Tlli9fjp9//hmvv/46wsLCGrUvWrQIRqMRH3zwgcftnDlz\nBsuXL4fBYMBDDz2EuLg41NfX49ChQ/jwww8RHByMv/3tb9Bq3V/z0pXCwkKYTKYWreMt9Ho9SkpK\nxI7RalLPD0i/D8wvLuYXl5Tzq1QqdOvWTewYzSbmvtZiteB3u3+HLzO+xLt3vIvJ0ZNbtL6Uv0/s\npN4H5hcX84uL+cUjtX0tAAxbPQxHLx8FrEDMF/2xec33jjaxJ/sGPE/KbP9e8YZJmVvTj+u/16XW\nD3c/q1LpR69ewR5/13h7P3Q6HaqrSyUxabmrfuh0OpSVlQGQzuTrDfvRML+dlPrh5xfcKL+dt/ej\no/e1HNFCkmcfyeJu1EptbS0CAgKa3M7HH38Mk8mExYsXIyoqCgCg0Whw++23w2g0Yu3atdi+fTt+\n8YtftF14IiIikiyrYMVTPzyFLzK+wFuT3mpxkYWIiEiS8oCbE4Y2eYCuIbUaUKubv7wrtoN5N3au\ncEsyu8J+XMN+XOPt/dDrAYWi6T56az9s+Zu/XW/rR0vz23lLP1qb384b+tFRWGghyQsPDwcA5Ofn\no3fv3k5tZWVlqK+vR79+/ZrcTmZmJvz9/R1Flobi4+MBAFlZWS7X3bt3L/bt2+f0XFhYGBYuXIjA\nwEBIdeCYSqWCXq8XO0arST0/IP0+ML+4mF9cUs4vk9nOvlqzZg2uXLni1DZmzBiMHdvxl8bytn2t\nVbDi8R2P4/MLn+P9ae/j/oH3t2o7Uv4+sZN6H5hfXMwvLuYXjzfuawHP+1sIAC4CMUdi8M8t/5TU\ney/l7xWA+cXG/OJifnFJOX9H72tZaCHJi4+Px5YtW3D8+HGMHj3aqe3YsWMAgIEDBza5HaVSidra\nWpjNZiiVzj8aFRUVAGy/XFwZO3as2x/OiooKXjpMJFLPD0i/D8wvLuYXl5Tz24dYL1y4UOwoDt60\nrxUEAX/Z/xd8eOpDrBi3AneE39Hqz1rK3yd2Uu8D84uL+cXF/OLxxn0t4Hl/G7U/Cv0U/ZC0NgkK\nhUJS772Uv1cA5hcb84uL+cUl5fwdva/1fIEzIgkYPHgwQkNDsXfvXqcRJzU1Ndi0aROUSiXGjRvn\neL6yshJ5eXmorKx02s6gQYNgsViwceNGp+eNRiM+//xzANdGthAREVHXJAgClh5cirWn1uLlW1/G\nnP5zxI5ERETUId595V28mvwqDAaD2FGIiIi8Dke0kOTJ5XI8+uijSE5OxpIlSzBmzBhoNBqkpqai\nqKgICxYsQEhIiGP57du3Y+PGjZg1axZmz57teP6BBx5AWloaPv/8c5w4cQL9+/eH0WjEsWPHUFRU\nhP79+zsVbIiIiKhrEQQBfzv0N7yb9i6SRyfjwbgHxY5EREREREREXoCFFhJddXU1/vSnP0Emk+GN\nN95o1Tbi4+OxbNkybNiwAfv374fFYkFUVBTmz5+PUaNGOS1rvz6f/d6ue/fuePnll7Fp0yacOHEC\nKSkpUCgUiIiIwKRJkzB9+nQoFIrWdZKIiIgkb8WRFXjj+Bv464i/YmH8QrHjEBERERERkZdgoYVE\nZ7FYUFRUdMPb6du3L5599tkml5s9e7bTSJaGQkNDsWjRohvOQkRERJ3LqmOrsOLICjwz/BksSuDf\nCkRERERERHQN52ghIiIiIvJg9YnV+Nuhv+GpYU/hd0N/J3YcIiIiIiIi8jIstJDorr+EFxEREZG3\n+ODkB1iWugyPD3kcTw17Suw4RERERERE5IV46TBqE0uXLm31umazuQ2TEBEREbWNdafXIWl/Eh4Z\n9AieGf4MTw4hIiIiIiIil1hooTZx6tQpsSMQERERtZn159bjmb3PYOHAhVgycgmLLEREREREROQW\nCy3UJmQyGQRBwJAhQxAUFNSidU0mEw4cONBOyYiIiIhaZvOFzVj8w2I8EPsAXhz9IossRERERERE\n5BELLdQmIiMjkZubi5EjR2LixIktWreiooKFFiIiIvIKX2Z+id/v/j1+0fcXePnWlyGXcUpDIiIi\nIiIi8oz/OVKb6N27NwAgIyND5CRERERErbMzeyf+99v/xbSYaVhx2woWWYiIiIiIiKhZ+N8jtYmY\nmBgAQGZmpshJiIiIiFruu4vfYdE3izA5ejJeG/8aFHKF2JGIiIiIiIhIInjpMGoT9hEtOTk5EASh\nRdcy9/HxwW233cbrnxMREZEo9uTtwcNfP4xxPcbhzYlvQiVXiR2JiIiIiIiIJISFFmoTAwYMwKef\nftqqdTUaDR577LE2TkRERETUtIP5B7EwZSFGRYzC6ttXw0fhI3YkIiIiIiIikhheOoyIiIiIuqTD\nVw7jlym/xE1hN+Hfd/wbaoVa7EhEREREREQkQSy0EBEREVGXc6zwGOZvn49BhkFYM3kNtEqt2JGI\niIiIiIhIolhoISIiIqIuJa04DfO+mod+wf3w4Z0fwlflK3YkIiIiIiIikjAWWqhNLF26FK+88orY\nMYiIiIg8OlNyBnO/nIvowGism7IO/j7+YkciIiIiIiIiiVOKHYA6h1OnTkGn07lse+KJJ1BeXo4P\nPvigg1MRERERXXOh7ALu/+p+RPhF4OOpHyNIHSR2JCIiIiIiIuoEOKKF2l11dTVqamrEjkFERERd\nWGZ5JuZ8OQcGjQH/veu/CNYEix2JiIiIiIiIOgkWWoiIiIioU7tYeRFzvpwDP5Uf/nvXf2HQGsSO\nRERERERERJ0ICy1ERERE1GnlVeVh9hez4aPwwfq71yPUN1TsSERERERERNTJsNBCRERERJ3S5erL\nmPPlHAgQsP7u9YjwixA7EhEREREREXVCSrEDEBERERG1tcKaQtz/1f2ot9Rj47SNiPSPFDsSERER\nERERdVIstBARERFRp1JSV4K5X81FRX0FNk7fiOjAaLEjERERERERUSfGQgu1mcrKSixdurTR89XV\n1QDgsu16S5YsafNcRERE1HWU1Zdh7ldzUVhbiM+mfYaYoBixIxEREREREVEnx0ILtRmLxYJTp065\nbffURkRERHSjKowVeHD7g8irysOGuzegf3B/sSMRERERERFRF8BCC7WJAQMG3PA2ZDJZGyQhIiKi\nruaRxY9ADjkyBmcgy5yFT+/+FAMNA8WORURERERERF0ECy3UJl544QWxIxAREVEXlTM6B0cPH4Xs\nLRnW/XsdBocMFjsSERERERERdSEstFCnceHCBWzYsAFnz56FxWJBVFQUpk2bhlGjRjVr/RdeeAGn\nT5/2uMzjjz+OW2+9tS3iEhERUVuRAegJCBMFbPloC8Ynjxc7EREREREREXUhLLRQp5CWlobk5GSo\n1WqMHj0aWq0WBw8exMqVK1FcXIxp06Y1uY3x48dj0KBBjZ43m83YtGkT5HI5Bg/mGbJEREReKxI4\nuuOo2CmIiIiIiIioi2GhhSTPYrFg9erVUCgUWLp0KaKjowEAM2fOxHPPPYdPPvkEI0eOREhIiMft\njB8/3uXzBw8eBAAkJiZCp9O1aXYiIiJqQ3LAAovYKYiIiIiIiKiLkYsdgOhGpaWloaCgAGPHjnUU\nWQDA19cX9913H8xmM3bv3t3q7X/33XcAgIkTJ95oVCIiImpPVkABhdgpiIiIiIiIqIthoYUk7+TJ\nkwCAhISERm1DhgwBgCbnXnGnuLgYx44dQ3BwMIYNG9b6kERERNT+8oDEgYlipyAiIiIiIqIuhpcO\nI8m7fPkyACAiIqJRm06ng1qtdizTUvbRLOPGjYNczrokERGRVxIAXASiD0UjaV2S2GmIiIiIiIio\ni2GhhSSvpqYGgO1SYa5otVrHMi0hCILjkmO8bBgREZH3itofhX6KfkhalwSDwSB2HCIiIiIiIupi\nWGghciMtLQ2FhYUYOHAgwsLCxI5DREREbrz7yrswmUxixyAiIiIiIqIuioUWkjz7SBZ3o1Zqa2sR\nEBDQ4u3u2rULADBp0qQml927dy/27dvn9FxYWBgWLlyIwMBACILQ4tf3BiqVCnq9XuwYrSb1/ID0\n+8D84mJ+cUk5v0wmAwCsWbMGV65ccWobM2YMxo4d2+GZuK/1XlLvA/OLi/nFxfzi8cZ9LcD9rbdi\nfnExv7iYX1xSzt/R+1qZINW9JNFVH3/8MbZs2YI//OEPGD16tFNbWVkZFi1ahEGDBuH5559v9jar\nqqqwaNEiqNVqvPPOO1AqW1+TLCwslOxZtnq9HiUlJWLHaDWp5wek3wfmFxfzi0vK+VUqFbp16yZ2\njGbjvlZcUu8D84uL+cXF/OKR2r4W4P5WTMwvLuYXF/OLS8r5O3pfy9m9qUPU1NTg5MmTOHDgAA4c\nOIBTp06htra2TbYdHx8PADh+/HijtmPHjgEABg4c2KJt7tmzB2azGWPHjr2hIgsRERERERERERER\ndW48gkztKjs7G5988gmOHz8Oq9Xq1CaXy5GYmIi5c+ciKiqq1a8xePBghIaGYu/evZg6dSp69eoF\nwFbc2bRpE5RKJcaNG+dYvrKyEhUVFQgMDHR7STH7ZcMmTpzY6lxERNT1FBcXY/mK5Th66qjtdBYr\nkDgwEUlPcZJ2IiIiIiIios6KhRZqN6mpqXj99ddhNptdtlutVvz00084ceIEfve732HEiBGteh25\nXI5HH30UycnJWLJkCcaMGQONRoPU1FQUFRVhwYIFCAkJcSy/fft2bNy4EbNmzcLs2bMbbS8jIwM5\nOTmIiYlxFG2IiIiaUlRUhHsW3IPs4dnAVAAyAFbgfN55pM5PxbZ121hsISIiIiIiIuqEWGihdlFQ\nUOAosnTr1g333HMPEhISHJMnlZSU4MSJE9i6dSsKCwuxatUq9O7dG6Ghoa16vfj4eCxbtgwbNmzA\n/v37YbFYEBUVhfnz52PUqFFOy9onQrLfX4+jWYi6No5IoNZKfjXZVmTp2eBJOYCeQDaysXzFcrya\n/KpY8YiIiIiIiIionbDQQu1i69atMJvN6NevH5KSkqDRaJzaw8PDER4ejttuuw3Jyck4d+4ctm7d\nil//+tetfs2+ffvi2WefbXK52bNnuxzJYvfrX//6hnIQkXRxRALdiKMnjwJ3uWmMBL767Csof1BC\np9YhSB3kuA9SByFYHYwgnyDoNDoEqALcngzQ3uyFxnpLPTZ/uFmUDERERERERERSw0ILtYsTJ04A\nAB555JFGRZaGNBoNHnnkEfzxj3/Ezz//3FHxiIhc4ogEaqlacy2+z/0eO7J2IL0i3Vacc0UOWGDB\nqZJTKKsvQ1l9GSqMFbAK1saLyuQI8mlQgGlQlNGpdbaCjFrXqGCjU+ugVWpb3ZeGhcbEkYmt3g4R\nERERERFRV8NCC7WL4uJiaLVaREdHN7lsVFQUNBoNiouLOyAZEZF7R08dtY1kcSUS+Gn7Tx2ah7xT\ncW0xvsn5Bjuyd+CH3B9QZ6lDbHAsdD46lAglrostVqCHfw98OePLa08JVlQaK1FeX24rvhjLUFZX\nhnKj7evy+nJHW0FNAc6VnnO0VZuqXWZTK9ROxZjrCzGeCjYuC41ERERERERE1CQWWqhdKJVKWCyW\nZi0rCALMZjOUSn47EpG4TILJ44iE9PJ0DFg7AJH+kY5bD/8eTl+HakOhkCs6NDe1v6yKLKRkpSAl\nOwWHrhyCIAgYHjYcf7z5j5gcPRkxQTF48uiTWJ+73nWhIs82109DcpnccemwKES1KI/JarpWoLEX\nZYzljkJNaX2poz2rIsuxTFl9GYxWo8ttyvbJgHktikFEREREREREYKGF2kl4eDiysrJw7NgxDB06\n1OOyx48fh9lsRo8ePTooHRGRM7PVjE/PfYqL5RcBAW5HJIT7huNXQ36FvOo85Fbm4sfLP+Lzys9R\naap0LKaSqxDhF+FUfLm+IHMjl3eijiEIAk4UnUBKdgpSslJwpvQM1Ao1bou8DX8f+3fcEX0HQrQh\nTuskPZWE1PmpyEY2EAnbZeesAPKA6EPRSFqX1Gb5VHIVQrQhjTI0p191ljqnAo39fvmm5SiRlbRZ\nRiIiIiIiIqKugoUWahfDhw9HVlYWVq9ejb/85S9uiygXL17E6tWrHesQEXUkQRDwXe53WJ66HGdL\nzyKqdxRycnPcjki4behteGzoY42aKowVyKuyFV/yqvOQV5mHvOo8ZFVkYe+lvbhSfQUCBMfyeo3e\nUXzp7t/dqQjTw78HDBpDqydDt09mfvTUUceB/sSBiUh6KgkGg6FV2+wqjBYjDuYftBVXslOQX50P\nnVqH26Nux+KbFmNcj3HwU/m5Xd9gMGDbum2293/Hde//Ou94/2UyGbRKLbRKLSL8Ipza3lK/5f7S\nZ0RERERERETkFgst1C7uuusufPvttygpKcGf//xnjBgxAgkJCdDr9QBsE+6mpaXh4MGDsFgs0Ov1\nuOuuu0ROTURdSVpxGpanLseevD0YFTEKX834Cj1+0QPT509v8YiEQJ9ABOoDMUA/wGW7yWpCflW+\nrQhztSBzqfoScitz8X3u98itzEWdpc6xvEahQXf/7rbii18kegQ4F2Qi/CKgVqgbvU7DycwxFbYD\n5lbgfN55pM5PxbZ127ziYL83qTRW4ruL32Fn9k58e/FbVBgr0MO/B+7qfRfujL4TI8JHQClv/p9L\nBoMBrya/CgDQ6/UoKZHOCJHEgYk4n3uec7QQERERERERtRALLdQufH198dxzz+Hll19GYWEh9u3b\nh3379rlcNjQ0FH/605/g6+vbwSmJqCu6VHUJfz/8d3x2/jPEBMXgg8kf4I6oOxwjSNpjRIJKrkJU\nYBSiAl3PwyEIAkrrS51HxVTlIbcqF2dKz+Cbi9+gqLbIsbwMMoT6hjqPhvGLxI53dzSezFwOoCeQ\njWwsX7HcUQToyq7UXMHO7J3Ymb0Te/P2wmg1It4Qj0cGPYLJvSYjXh/f6hFFUuZ06bMwsdMQERER\nERERSQcLLdRuevbsiX/84x9ISUnBgQMHkJ2dDUGwXTpHJpMhOjoaY8aMweTJk6HRaEROS0SdXZWx\nCm8efxPv/PwO/FR+SB6TjHlx86CSq5yWE2NEgkwmg16jh16jx+CQwS6XqTXXIr86H7lVubhUdQm5\nVbnIq7IVZH4u+hmXqi7BeNzofjLzSGD/tv24UnMFodrQLldIuFB2ATuydiAlOwVHCo5AIVNgRPgI\nJI1IwuToyegZwGEcDS99Vr+/HnhU7ERERERERERE0sBCC7UrrVaLGTNmYMaMGTCbzaiqqgIA+Pv7\nQ6nktx8RtT+z1YyPz3yMV468gipjFR4Z/AgeG/IYAnwCxI7WIlqlFjFBMYgJinHZbhWsGLN1DHJk\nOa43IAdyq3Mx7D/D4Kv0Ra/AXugd1Nt2C7x6C+qNbtpunaIIYxWsOFJwBClZtvlW0svToVVqMaHH\nBLw2/jVM6jkJwZpgsWN6HXuhUaVSNb0wEREREREREQFgoYXayWOPPQaZTIakpCSEh4cDAJRKJXQ6\nncjJiKirEAQB3+R8g+Qfk3Gh7AJm9puJP938J0T6R4odrV3IZXKo5WpAgOvJzK1AdEA0ltyxBJkV\nmcgsz0RmRSY+P/85LlVfcizmp/KzFWECGxRhrt6HaEO8ughTZ67Dvkv7kJKdgp3ZO1FYWwiDxoDJ\n0ZPx/IjnMTZyLLRKrdgxiYiIiIiIiKiTYaGF2kVpaSlUKpWjyEJE1JF+LvoZyw4uw/78/RjTfQxW\nTVjl9pJcnYnHyczzgBGDR+DOXnc2aqo11yKnIgeZFZnIqshCRnkGMsszcaTgiFMRxl/l7xgJY7+P\nCYxB76DeMGgMohRhyurLsOviLuzI2oHdubtRbapGr8BemNlvJqZET8Gw0GFQyBUdnouIiIiIiIiI\nug4WWqhdBAcHo7KyUuwYRNTF5FXl4eVDL2PjhY3or+uPD+/8EBN7TvTqURhtyWky80gAcgBWAHlA\n9KFoJK1LcrmeVqlFrD4WsfrYRm215lpkV2Qjs9xWhMmsyERGeQYOXzmM/Op8x3IBqgD0CrKNhGl4\nWbKYwBjoNfpmfwbFxcVYvmI5jp466sifODARSU8lwWAwALB9zjuzd2JH1g4czD8Is2DG0G5D8fiQ\nxzGl1xT00/XrMp85EREREREREYmPhRZqFwkJCdi1axcyMjIQE+N6PgEiorZSaazEG8ffwL9//jf8\nffzx8tiXMTd2LpTyrrWbaziZ+dEd1xUq1l0rVLSEVqlFnD4Ocfq4Rm215lpkVWQhqzzL6XJkP175\nEZerLzuWC/QJdB4Jc/VyZDFBMQhWBzuKIkVFRbhnwT3IHp4NTIXtEmhW4HzeeeyZtwf3PXMf9pTt\nwc9FP0MlV2F0xGgsG70Mk6MnI8IvopXvGhERERERERHRjelaR6Cow9x7773Yt28f3n//fTz//PNQ\nq9ViRyKiTshkNeE/Z/6DFT+tQ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S0sLFRVVVUH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dTKnwGDW2Hadx2efjNBfajltusfHmmxXuwgXaEebiz8dfuVyzHWfmcZV2\nuCwzZBVlMXHjRIocRc67g72DifCPcN4i/SOJ8Cv+Ptwv3LCel7VVel46I78byZ7je/j4xo/5W/jf\njI5kuJr0gauIVL2aVgBSoUVEREREpDwNN9F7wRBOFJzgneveoX+T/kYnOkN0aDRPWVfxzOERcF8n\nmP857O1rdKyLI/ot6PswbLsXlrwLDo03LyJiODs0DmjM9/d8z5GcIyRmJXIw62CpW+yRWA5nH8ZB\ncc8iEybCfMOKe7/4NSQyILK4IPNnj5gw3zDczPqI6lwln0xm+LLhHM87zvy+82kb3NboSCIilzyd\nxURERERETmeyQ8y/oecEgn2uZF6/eUT4RxidqlxWSwS8vwFuvROG94cVr8KPjwPnP3+M4WJegRue\ngh8fg++m4dJtERGpTZKhXct2WMwWwv3CCfcLp1P9TmesVmAr4FD2IWfxJTErkaSsJOIz41l/aD1H\nc44613UzudHAr4Gz+BLhH1FcjPnz+xCfEMymiodqO11aWhqTp00mblccmAF7ce4JYyZgtZY/1GZN\ntzt9N3csvwM3kxuLBiyiSZ0mRkcSERFUaBERERERKc3vCNwyApp8D+ufYsGcB3A3uxud6uwK/OHL\nBXDdeOj9BAT/CkvfBpurDdXigJ4T4G8vwpp/wZrnUJFFRKQGcAAHISo2iglzJ5x1dQ+LB40CGtEo\noFGZy3OLckk+mewswpQUZH5L/40ViStIz/trGChPiyfhfuF/9Yjxjyw1RFmQVxAm01/nitTUVAaM\nGEBCdAL0ofg0Yoe9yXvZfOdmlsxdUuOLLWUViiIaR7Cl2RbCQ8P5tM+nhPqEGh1TRET+ZHI4HBXP\nECciFyQlJYXCwkKjY5yXoKAglx7j1NXzg+u3QfmNpfzGcuX87u7uBAcHGx3jnO3dm0peXlGZyyo7\nmfGGoz/wzJb/w4SJl6LfpGPI36p00vKS18nFnpR5ccJXPB83lrZB7Zl27WzqelqrrB2nvtYvtB25\neXb+tfE5Ptv3PmNa/4tRlz10xjoXux1l/a7WhEmyz7UdFf2tcYV2hIQEYrNV/LeyJrcjMDCQjIwM\nl5l8/fR2lOQv4WrtOD1/CVdoh6udawEGjhyIp8Wz2nqEnCw4ycGTB8/oEVNSlMkqzHKu6+Pm89f8\nMH4RbJu7jZ+Df4ayOqMehCG2IUyfMr3K23C+ShWKGuIsFJEMnms9+f7z72ncoLHBKc9ddbwvduX3\n3iJyfs72e1/d51r1aBERERERlxYY6KCwsOIP5crj6QmennYKbAX8e8u/eXvH23Rv2J3Xur1GsE8w\nxZ9qVKz4w7wLu3bpbB8qnk1JO0rcYx1EmwZR3LvyXkb87ybm9JqDlRYV7sPodhTZixi/eSzz9s3j\nlS6vcOcVd3Iuj//pjG4HnPl8nI9LpR116sDZPherye0ICgKL5dz2XRPbUZn8JWpSO84nf4ma0A5X\nM2vqrGq9iNDPw48rgq7giqArylyekZ9RZhFmw6EN7P1tL7QrZ8fhsODLBWz9aitebl54WbycXz3d\nPPGyeOHt5u2839Pi+dc6p/9cwVdPN8/z7hE7ZfqU4iLLqYUiMxAB+d3yeWPmGzW6UCQicilSoUVE\nRERELmkJmQk8vPphfkn9hWevfZb729xf6XHga6LosGiWDlzK3SvuZsDXA3ir51tcF3md0bHKVGAr\n4JEfHmF5/HJm9JjBLc1uMTqSiIjUcIGegQR6BtKmXpszlnX9tCv7TfvL3tBcXMS5LvI68oryyLfl\nk2fLI68oj+yCbNJt6c6fy/paGRaTpVQB5lyKNJ4WT1ZtXQW3lrPTcIhbHlepHCIiUvVUaBERERGR\nS9bifYv557p/EuQVxKIBi2gXUt7lr64pwj+CRf0X8cgPjzBqxSievfZZRrceXWoce6PlFuVy/6r7\nWZ+8nlnXz6J3o95GRxIRERdnMVmKO2+VdbqzQ7B3MBM7Tqz0fh0OB/m2/FLFmZICTL4t3/l9blFu\nqZ9PL+icuk1uUS7H84+XWvdE4Ynypyczgw1bpbPLpengwYN06tSJwYMHM336X72gBg0axKZNm0hK\nSjIwnRihvNfEuZo6dSrTp09n3rx5dOrUqQoSui4VWkRERETkkpNTmMO/fvwXn+/+nJub3szLXV4m\nwCPA6FhVws/Dj/dveJ+XY19m0qZJ7Dm+hxdjXsTD4mF0NLIKshj13Sh+Tv2Zj278iL+F/83oSCIi\nUgu0a9mOvUl7y56jJbl4+fkwmUzOIcTqUOc/rBAYAAAgAElEQVTCQlag+xfd2evYW26hyIKlyo4t\ntVNZF9mc74U3GzduZMiQIYwZM4YxY8ZcaLRKK/mgf/78+XTs2LHaj19bnO/zbzKZnDcpTYUWERER\nEbmk7ErbxUOrHyIpK4mpf5vK7ZfdXuv/UbCYLTxz7TM0q9uMf677JwdOHGDWDbMI8goyLFN6Xjoj\nlo9g/4n9fH7T50SHRhuWRUREapcJYyaw+c7NJJAA4RTPb/LnZPJRsVFMmDvB4IQVq6pCkUiJ119/\nnby8yg2Fd7ra/v65tqpfvz5r164lIOD8LjIbNWoUN998Mw0aNLjIyVyf6w8+LSIiIiJyDhwOB3N2\nzaHf4n64m91ZfstyhrYYekn9k3j7ZbfzVd+v2JOxh36L+rHn+B5DchzLOcbgbwaTmJXIvL7zVGQR\nEZGLymq1smTuEobYhtB8eXPnbYhtCEvmLsFqtRodsUITxkwgKjYKDlJcIOLPrwf/LBSNqdmFIqn5\nwsPDadq06QXtw+FwXKQ0rnl8V+Xm5kbTpk0JDg4+r+2DgoJo2rQp3t7eFzmZ61OhRURERERqveN5\nxxm9ajTPbHiGoS2GsuTmJTSv29zoWIa4Juwavh34Ld5u3gxYPIDVB1dX6/GTspK4ZcktZBRksKDf\nAlrXa12txxcRkUuD1Wpl+pTprFm4hh0/7GDNwjVMnzK9xhdZwPULRVL9bDYbM2fOJCYmhqZNmxIT\nE8Obb76J3W4vc/1BgwbRsGHDUvc5HA4+++wz+vbtS6tWrWjatCkdOnRg1KhR/Pjjj0DxsF1DhgwB\nYNq0aTRs2NB5S05OBmDfvn1MnjyZ3r17O/fTtWtXXnrpJXJycsrNUlRUxNSpU7n22mtp0qQJXbt2\n5aOPPjpj3ZJ5RQYPHuw89rkMIZaZmcl//vMfunfvzmWXXcbll19OTEwMjz32mDM7wGOPPVaqPaea\nOnUqDRs2ZNOmTc77Nm7cSMOGDZk2bRo//fQTgwYNokWLFrRs2ZLRo0cTHx9fZp7U1FQmTpxITEwM\nTZo0oU2bNowePZrdu3efse61115Lx44dyczM5Nlnn6VDhw5ERUXx1VdfMWTIECIiIsrMC/Dss8/S\nsGFD1q1bBxTP0dKwYUMef/zxUusdPXqUf/3rX87XUMuWLenevTtPPfUUWVlZFT4GJVasWMGgQYO4\n/PLLadq0KTfccAPvvfceNlvpeaVOzXDgwAHuvfdeWrZsSfPmzRk6dCi7du0qsy01nYYOExEREZFa\nLfZILH9f/XeyC7OZff1s+jTuY3Qkw0X4R7B4wGIe/uFh7vruLp699llGtx5d5b179mXsY+i3Q3E3\nu7Ow30IiAyKr9HgiIiKuqqRQBMVXkKenpxucqPZJS6v4+nM/PzuenuUvz8+Hkycr3ofVWnah42Ib\nN24cX375JVFRUYwaNYq8vDzee+89YmNjy93m9Pd9L774Im+//TaNGjXi1ltvxdfXl8OHD7NlyxbW\nr19Pp06d6Ny5M0lJSc6J0Dt37uzc3t/fH4Bly5bxxRdfEBMTQ0xMDHa7na1btzJz5kx+/PFHFixY\ngJvbmR9JP/TQQ/z888/07NkTi8XC119/zTPPPIO7uzvDhw8HcBZ5Nm3a5CwwAGcdBsvhcDB8+HC2\nb9/ONddcQ8+ePTGbzRw8eJCVK1cyaNAgwsPDy31szsW2bdt488036dGjB/fccw+7d+9m+fLl/PTT\nTyxZsoTIyL/e98bHxzNo0CCOHDlC9+7d6dOnDykpKXz77besXbuWL7/8knbt/hoi0GQyUVBQwJAh\nQ8jJyeHGG2/EYrEQEhLCoEGD2LhxIwsWLODRRx8tlamoqIjFixcTFhZG165dSy07tY25ubkMHDiQ\npKQkunfvTt++fSkoKCAxMZEFCxbw0EMPOZ/f8rz77ru88MIL1K1bl1tvvRUfHx++++47nn/+eX76\n6Sdmz559xjYHDx5kwIABtGjRgmHDhhEfH893333H4MGDWbt2LfXq1avUc2A0FVpEREREpFay2W3M\n2D6Dadum0T6kPTN7ziTcL/zsG14i/Dz8+OCGD3gp9iUmbZrE3uN7mRIzBQ+LR5Ucb1faLoYtG0aQ\nZxCf3/Q5Yb5hVXIcERERkXPRtm3F70XeeSed/v3Ln8dkxQovHnyw4vnukpMPnVe2yti4cSNffvkl\nrVq1YtGiRc4hnR599FF69ep1zvv57LPPCAsLY9WqVfw/e3ceV3WZ93/8dQ47CrIoKOK+i/summtp\njrglopnOOFq5NT9Hy+YuLc1ymu5Sa+bWymqyKSvFfUsTRcVUXMoV13HHBZFccQHO+f3BnDMeOSAi\ncs6h9/Px6JF+1/f1PQc+yHWu6/L29rbZd+XKFQBat26N2WwmNjaWyMjIHKMiIHvUyYgRI3J0psyY\nMYNp06axfPly+vTpk+O8ixcvEh8fT4kSJQAYOnQonTt35tNPP7XpaDlz5oy1oyU/I1kADh06xO7d\nu+nWrRufffaZzb6MjAwyMjJsthVkWrINGzbw3nvv8dxzz1m3ffPNN/zP//wPb775JnPmzLFuHzNm\nDKmpqXz77be0a9fOZvvvfvc7xo8fT1xcnE2elJQUIiIi+Pzzz/G6pwfw5s2bvP766yxevDhHR0t8\nfDxpaWmMHDkyz+wJCQmcOXOGF154gUmTJtnsu3XrFm5ubnmef/LkSf76179SpkwZVq1aRbly5YDs\nDsABAwawevVqFi5cSN++fW3O27ZtGxMmTLDJ9/777/PRRx8xb948Ro8ened9nY2mDhMRERGRYufC\nzQsMWDWAD3Z9wEuNXmJB1AJ1stjhZnRjYsuJTG8/ndijsQz8YSBptwv/E7M/p/xM9IpoypUox8Ie\nC9XJIiIiIlJIFixYAMDYsWNt1s0oW7Ysw4YNe6hreXp6YjTm/HVxQEBAvq9RtmxZuyNWhgwZAsDm\nzZvtnvfaa69ZO1kA69Rlx48ftzvlWEF42Rmi5OHhga+v7yNfu1q1ajadLADPPfcclStXZt26ddZR\nafv372fXrl3069fPppMFoGrVqjz77LMcOnQoxxRiBoOBCRMm5GhDiRIlePrppzly5Aj79++32bdw\n4UIAnnnmmXy1wd7z8fHxwdMz7w9iLV68mKysLIYPH27tZIHs99Prr78OwPz583OcV6lSpRydQM8+\n+ywAe/bsyVdmZ6IRLSIiIiJSrMSdjmPsxrF4GD2Y130ebcLaODqS0+tfsz9V/KswbO0wopZEMafr\nHGoG1iyUa/907ieGrBlCRHAE/3r6X/h75j21g4iIiIjkX1JSEgaDgRYtWuTYZ29bbnr37s1XX31F\np06d6NWrF5GRkTRp0qRAi55///33zJ8/n8OHD3P9+nWbtWIuXryY43iDwUCDBg1ybC9Xrhxms5mr\nV68+UmdIzZo1qVOnDkuWLOH8+fN07dqVyMhIIiIiCm3q3ObNm+fYZjAYaN68OSdPniQpKYm2bduy\na9cuAFJSUpg2bVqOc44dO2b9f61atazbvby8qF27tt179+3blyVLlrBgwQLq1cte//D69eusXbuW\nOnXqUKdOnTyzt27dmtDQUGbOnElSUhJPPvkkrVu3pkaN/K1peeDAAet17te0aVO8vLzsrrtSt27d\nHNvKls3+QNa1a9fydW9noo4WEREREXFpL7z8Al5uXowfM57Z/57NZ/s/o1OFTnzY/kOCfbRYbH61\nKNuClb1W8scf/0jPpT2Z1XkWnSp0eqRrxp2OY3jccFqWbcnnT32Or8ejf1pQRERERP7r+vXrGI1G\ngoJyTmNWpkyZfF9nypQpVKhQgfnz5/PRRx/x0Ucf4eXlRY8ePXjzzTftXt+eiRMnMmfOHMqXL0/X\nrl0JCQnBy8sLs9nM9OnTuXPnjt3z7h3NYmGZsurejpqCcHNzY/78+UyfPp1Vq1YxZcoUIHstpCFD\nhjBmzBi7I3keRm7riVheA8uC8pZp2NatW8e6devsnmMwGLh161a+rg/Qvn17ypQpw7Jly3jzzTcx\nGo2sXLmSO3fu5Jiuyx4/Pz+WLVvGBx98wNq1a1m/fj0AYWFhjB49mj/84Q95nm9pm72MBoOB0qVL\nk5KSYve+97OMhsrKynpgbmejjhYRERERcWmnI0/zy85fWBK9BFO0iUkdJxXJwu7FUUX/iizpuYTR\n60fzhzV/4M2Wb/J8vecL9CyX/XsZf4r/E09VeoqZnWbi5ZbHarIiIiIiRWzv3gt57i9ZMu9f7nfp\ncvuB1ygKfn5+mEwm0tLScnSGXLp0Kd/XcXNzY8SIEYwYMYKLFy+ybds25s2bx4IFC7h06RJz5859\n4DVSU1OZM2cOdevWZdmyZTZrvaSkpDB9+vT8N6yQBQYG8vbbb/P2229z7NgxNm/ezJdffsm0adPw\n8PDgpZdeArB2uGRmZua4Rl6jLFJTU+1ut7wGlk4Fy//feecd63Rq+ZHXz+NGo5FevXrx+eefk5CQ\nQPv27VmwYAFubm5218Oxp3z58syYMQOz2UxSUhKbNm3iiy++YMKECQQEBNCrV69cz7W0KTU1lfLl\nbadrNpvNpKamUrJkyXzlcGVao0VEREREXJsBqAB3O9ylw6kOvFj/RXWyPAI/Tz++7PIlL9Z/kcnb\nJvNqwqvczbr7UNf4/vD3jI4fTc9qPfmk8yfqZBERERGnExxsyvM/O8tV2PDyevA1ikJERARms5nE\nxMQc++xty4/Q0FB69erF3LlzqVSpEgkJCdaRKJZRJvZGHJw6dQqAJ554wqaT5VGy3M/SEfIoIx6q\nV6/OkCFD+O677wBYu3atdV+pUqUAOH/+fI7zLFNk2bN9+3bMZrPNNpPJxM6dOzEajdZpspo0aQJg\nnUKssERHRwPZ67IkJyezbds2IiMjCQ0NfajrGAwGIiIiGDlyJLNmzQJsn489lunKtmzZkmPfzz//\nzJ07d4iIiHioHK5IHS0iIiIiUjyUh1PHTzk6RbHgZnTjjZZvML3ddGKPxjLwh4Gk3U7L17mf7/+c\nlze9zHO1n+OjDh/hbtQgehEREZHHxTI11IwZM2ymmzp//jxffPFFvq5x9+5dduzYkWP7zZs3SU9P\nx8PDw9rBERAQAEBycnKO4ytUqADAjh07bDodzp07x9/+9rd8tihvgYGBud4/N2fPnuXMmTM5tltG\nm9y7CHyjRo2AnIu3r1ixgm3btuX6ga7jx4/nGPUzd+5cTpw4QefOna2jjRo1akTjxo1ZsmQJy5Yt\ny3Edk8nE1q1b8902i3r16lGzZk1Wr17NN998A5CvacMAjhw5Ynf0k2W6L68H9Dr26dMHd3d3Zs+e\nbbMGz927d/nrX/8KQExMTL6yuDL9q0dEREREigcjZOF6c/k6s/61+lPZvzLPxz1P1JIo5nSdQ83A\nmnaPNZvNfPTLR7y/631GNRjF6y1e18giERERkccsMjKS/v37M2/ePDp37kzXrl25e/cuy5cvp2nT\npsTFxdk9796OkFu3btGnTx+qVq1K/fr1KV++PDdv3iQuLo5Lly4xcuRIPDw8AKhRowahoaEsW7YM\nT09PypYti8FgYNiwYYSEhPC73/2OVatW0a1bN9q0acOlS5dYt24dTzzxhHXES15ZHqRNmzYYDAbe\ne+89Dh8+jJ+fHwEBAXlOw7V//36ef/55GjduTI0aNShTpgwXLlxgzZo1uLm58cILL1iP7dq1K5Uq\nVWL+/PmcO3eOiIgIjh49ypYtW+jcuXOu66p06NCBN998k/Xr11OjRg2OHDlCXFwcwcHB1jVhLGbN\nmkW/fv0YNWoUn3/+OfXq1cPb25vk5GR27drFr7/+yr///e98PxOLvn378u677/LJJ5/g6+tL9+7d\n83Xexo0beeedd2jevDlVq1YlMDCQU6dOsXbtWry9vR84xVmlSpV4/fXXmTJlCk8++SQ9evTAx8eH\ntWvXcvz4cZ5++mmeeeaZh26Pq1FHi4iIiIgUDyZww83RKYqdluVasrLXSob8OISeS3syq/MsGvo2\n5J3p7/BL0i/ZY+SzwBhi5HDdw/yl/V/4U6M/qZNFREREpIi8//77VK1alW+//ZavvvqKcuXKMXz4\ncKKionLtaLn3Z7USJUowYcIENm/ezPbt27l8+TIBAQFUrVqV119/3WZ9DqPRyOeff87UqVNZunQp\nN27cwGAw0K9fP/z8/Pjwww+pUKECq1atYs6cOZQvX57hw4czatQoVqxY8cAs92+/f1+NGjWYPn06\nn376KXPmzOHOnTtUqFAhz86Ahg0bMnr0aLZu3cr69eu5du0aISEhtGvXjpEjR9K4cWPrsd7e3syb\nN4/JkyezefNmfv75Z5o2bcrixYttFoq/X9OmTRkzZgzvvfceX375Je7u7jz99NNMnDjROtLHokKF\nCqxZs4bZs2ezZs0a5s+fj5ubG6GhobRu3ZqoqKh8PZ/79enTh/fee4/MzEyioqLw8fHJ13kdO3bk\n7NmzJCYm8sMPP5Cenk7ZsmXp1asXo0aNonr16jZZ7OV58cUXqVy5MrNnz2bRokVkZGRQtWpVJk2a\nxLBhw/KVw9UZzA/TZSgiD+3SpUtkZGQ4OkaBBAUFkZaWv2lCnJGr5wfXb4PyO5byO5Yr5/fw8KBM\nmTKOjpFvTT5twi8XfoEzEJMVw4ypMxwdKd9c6X1y/e51Rq8fzfpD6wlYHsCvbX6FcLLXyDEByRD4\nUyAb528kODjYwWnzz5VeA3uU37GU37FcOb+r1VrQv20dSfmd4x4i9mzZsoWYmBhefvllxo4d6+g4\nvykP+rov6lqrNVpERERExLWZgTNQaUclJo6b6Og0xZafpx9fdvmSGkk1sjtZKpDdyQLZ/6qoAL+2\n+ZV3pr/jwJQiIiIiIiJFT1OHSbFx7NgxYmNjOXz4MFlZWVSsWJGoqChat26dr/MPHDiQY87Ee40c\nOZIOHToUUloREREpLBW3VKSGWw0mfjPRpUZSuCI3oxvmS2ZolssB5eGX1b8UaSYRERERERFHU0eL\nFAv79+9n6tSpeHl5ERkZiY+PD9u2bePDDz/k8uXLOeY2zEvdunWJiIjIsb1KlSqFGVlEREQKyWfT\nPnPZqUxcURZZ/x3Jcj/jf/aLiIiIiIj8hqijRVxeVlYWn376KW5ubrz11ltUqlQJgL59+/L666/z\n3Xff0apVK0qXLp2v60VERBAdHf04I4uIiIi4LDfcsqdrs9fZYvrPfhERERGR34DIyEjOnj3r6Bji\nBLRGi7i8/fv3k5KSQtu2ba2dLAC+vr706dOHzMxMNmzY4LiAIiIiIsVI47qNIbd/Syb/Z7+IiIiI\niMhviEa0iMs7cOAAAA0aNMixr2HDhgAcPHgw39c7d+4cK1eu5O7duwQHB1OvXj2CgoIKJ6yIiIiI\ni5s4biKJgxI5xSkoT/ZHt0xAMlTaUYmJ30x0cEIREREREZGipY4WcXkXLlwAoFy5cjn2BQQE4OXl\nZT0mP3766Sd++ukn69+NRiPdunVj0KBBGI0aBCYiIiK/bcHBwSz/ZjnvTH8ne+H7/3S0NK7bmInf\nTCQ4ONjREUVERERERIqUOlrE5aWnpwPZU4XZ4+PjYz0mL6VKleK5556jSZMmhISEcPv2bY4cOcLc\nuXNZuXIlAL///e8LL7iIiIiIiwoODmbG1BkABAUFkZaW5uBEIiIiIiIijqOP54v8R3h4OD179iQ8\nPBxPT0/8/f1p1qwZkyZNwt/fnx9++IFr1645OqaIiIiIiIiIiIiIOBF1tIjLs4xkyW3Uyq1bt3Id\n7ZIfAQEBNGvWDJPJxLFjxwp8HREREREREREREREpfjR1mLi8smXLAnD+/HmqVKlis+/KlSvcuXOH\nGjVqPNI9/Pz8ALh9+7bd/Zs3b7ZZ1wUgNDSUIUOG4O/vj9lsfqT7O4qHhwdBQUGOjlFgrp4fXL8N\nyu9Yyu9YrpzfYDAAMGfOHC5evGizr02bNrRt27bIM6nWOi9Xb4PyO5byO5byO44z1lpQvXVWyv9g\nWlNX5LfHaDTm+b2lqGutOlrE5UVERLB06VL27NlDZGSkzb7du3cDULdu3Ue6x9GjRwEICQmxu79t\n27a5fnFeu3aNjIyMR7q/o7j6nOuunh9cvw3K71jK71iunN/Dw4MyZcowZMgQR0exUq11Xq7eBuV3\nLOV3LOV3HGestaB666yUP3/3EJHfFpPJlOf3lqKuteruFZdXv359QkJC2Lx5MydPnrRuT09PZ/Hi\nxbi7u9O+fXvr9uvXr5OcnMz169dtrnP8+HG711+1ahVJSUmUK1eOatWqPZY2iIiIiIiIiIiIFERG\nRgbTpk2jTZs2VKlShfDwcH788ccCXatly5a0atXKZtu8efMIDw9n/vz5hRH3N2PLli2Eh4czffr0\nAp3/5z//mfDwcJKTkws5mTwOGtEiLs9oNDJixAimTp3KpEmTaNOmDd7e3iQmJpKamsrgwYMpXbq0\n9fgffviBhQsXEh0dTb9+/azbp02bhru7O1WqVCE4OJg7d+5w9OhRTp48SYkSJfjTn/5kHXImIiIi\nIiIiIiLiDD799FNmzJhBq1at6NWrFx4eHo/0YeHcfv+l34sVTEGfm8Fg0DN3IepokWIhIiKCKVOm\nEBsby5YtW8jKyqJixYoMGjSI1q1b2xxr+QZ1/zeqLl26sGfPHg4dOsT169cxGo2UKVOG7t27ExUV\npWGoIiIiIiIiIiLidOLi4ihZsiTff/897u76da+zaNy4MRs3bizw7xRfe+01XnrpJUJDQws5mTwO\n+sqTYqN69eq89tprDzyuX79+NiNZLHr16kWvXr0eRzQREREREREREZHH4uLFiwQGBqqTxcn4+Pg8\n0siikJCQXNeLFuejNVpEREREREREREREXMy0adMIDw/nzJkznDlzhvDwcMLDw61rrOS1tsqjrh+S\nl4sXL/Lmm2/Spk0bqlWrRt26denQoQP/8z//Y7NmcnR0NOHh4XavYW99knvbs2bNGrp370716tVp\n0KABL7/8MqmpqXavdfr0aV555RWaN29O1apVadKkCWPHjrW79kl4eDjR0dGcP3+eP//5zzRq1IgK\nFSqwdetW2rRpQ61atbh165bd+wwZMoTw8HBOnDgB5P6Mjx8/ztixY2nVqhVVq1YlIiKCp556ikmT\nJj3wGdz7LKKioqhZsyY1a9YkKirqga/znj17GDBgADVr1qROnTo8//zznD171m5b5OGpm1NERERE\nRERERESKvcuXL/PO9Hf4JekXssjCDTca123MxHETCQ4Odrn7RUZGYjAY+PzzzwF44YUXAPD397c5\nLq91Pgp7DZBbt27Ru3dvzp49S4cOHejevTt3797l9OnTLFq0iJEjR+Ln5/dI2VatWsXGjRuJioqi\nXbt27Nq1i3nz5pGYmMjKlSspVaqU9diff/6Z5557jtu3b/Pkk09SpUoVTp8+zeLFi4mPj2fZsmVU\nrFjR5vpXrlyhV69eBAYG0rt3b+7cuYOfnx99+/Zl+vTprFmzht69e9uck5aWxoYNG2jSpAlVqlTJ\ntR0XLlwgKiqKW7du8eSTT1K1alVu3brF8ePH+frrr5k0aRJGo9HuuRZvvPEGX375JeXKlePZZ58F\nYOXKlYwbN479+/czZcqUHOfs3r2bWbNm0aZNG37/+9+zb98+Vq9ezcGDB1m/fj1eXl65vQyST+po\nERERERERERERkWItNTWVnoN7cqr5KegGGAATHE0+SuKgRJZ/s7xQO1uK4n6tW7emdevWzJs3D6PR\nyNixYwsl+6NISEjgzJkzvPDCCzlGaNy6dQs3N7d8X8tsNtvdHhcXx7fffku7du2s2959911mzpzJ\nBx98wNtvvw1ARkYGo0aNAmDFihVERERYj9+xYwfR0dG8+eabzJkzx+b6hw4dYsCAAbz//vs2HR0l\nS5Zk+vTpLFy4MEdHy9KlS8nMzKRv3755tmnVqlVcu3aNKVOmMHToUJt9V69etelksfcMtm3bxpdf\nfknNmjVZtmwZJUuWBGDcuHH06NGDf/7zn0RFRdGiRQub89avX8/HH39Mjx49rNvGjBnDwoULWb16\ntZZTKASaOkxERERERERERESKtakzpmZ3elQgu9MDsn8zWgFONT/FO9Pfcen7ORt7IyR8fHzw9PR8\n5Gu3a9fOppMFsjsN/P39WbBggXVbXFwcZ8+eZcSIETadLADNmzenS5curF+/nhs3buTIPmHChByj\nSSpXrkzTpk1JSEjg8uXLNvsWLlyIp6cnPXv2zFcb7D2fe0fi5CY2NhbI7lixdLJYzh03bhyA3SnE\nWrVqZdPJAjBgwAAA9u7dm6/MkjeNaBEREREREREREZFi7ZekX7JHlthTHrat2Ma+1H2Fdr9te7dB\nj1x2lodfVv9SaPdyJq1btyY0NJSZM2eSlJTEk08+SevWralRo0ah3eP+0RoAvr6+1K1bl23btnHq\n1CkqVarEzz//DMCxY8eYNm1ajnNSUlIwmUwcP36cBg0aWLdXqFCBwMBAu/fu27cvu3btYsmSJQwb\nNgzIXnNl9+7ddOnSJdfzLLp06cLf/vY3JkyYwObNm+nQoQOtWrWiUqVK+Wr7/v37MRgMREZG5thn\n2ZaUlJRj373tsyhbtiwA165dy9e9JW/qaBEREREREREREZFiLYus/44suZ8RTt84zdOLny68G94g\nz/tlkVV493Iifn5+LFu2jA8++IC1a9eyfv16AMLCwhg9ejR/+MMfHvkeZcqUyXP79evXgey1VgAW\nL16c67UMBkOOxe1Lly6d6/E9e/Zk8uTJLFq0yNrRsnDhQoAHThsGEB4ezvLly5k2bRrr169n+fLl\nAFSvXp1XXnmFqKioPM+/ceMGRqORoKCgHPssuS3tv9e96+JYuLtndw1kZRXP92JRU0eLiIiIiIiI\niIiIFGtuuIEZ+50fJqhYsiKz+8wutPu9uOxFTptP53o/N/K/VklBWdb7sPeLdHu/jC8s5cuXZ8aM\nGZjNZpKSkti0aRNffPEFEyZMICAgwMlwaaYAACAASURBVLoeiGVqLpPJlGNtkrzyXbp0Kc/tlk4F\ny9RaX331FZ07d853fnsL0FsEBATQqVMnVq9ezfHjx6latSqLFi2iVKlSPPXUU/m6fq1atZg9ezaZ\nmZns3buX+Ph4/vnPfzJy5EhCQ0Np3rx5rueWLFkSk8nE5cuXc6zxk5qaCtjvVJHHTx0tIiIiIiIi\nIiIiUqw1rtuYo2ePZq+Zcr9kaNWgFfVL1y+0+7Vq0IrTZ0/ner/GdRsX2r1yY1nz4/z58zn27d+/\n/7Hf32AwEBERQUREBE2bNuWZZ55h7dq11o6WgIAAzGYz58+fp3z58tbzTCYTSUlJuXZ4JCYm5th2\n8+ZNkpKS8Pf3t07D1aRJEwB27tz5UB0tD9K3b19Wr17NwoUL6dChA2fOnGHgwIEPvf6Mu7s7TZo0\noUmTJlSuXJkxY8YQFxeXZ0dL/fr1OXDgAFu2bMmx5srWrVsBcqxHI0XD+OBDRERERERERERERFzX\nxHETqbSjEpwBTP/ZaALOQKUdlZg4bqJL38+ehg0bYjAYWLp0KXfu3LFuP378OF988cVjueeRI0fs\njjhJSUkBbBeBb9SoEZBz8fbZs2dz5syZXO+RkJDAxo0bbbb9/e9/59q1a0RHR1u3de3alfLlyzN7\n9my7nTMZGRls3749H62y1blzZ0qVKsXixYuti9PnZ9owgH379tkdrWN5Zt7e3nme369fPwBmzJjB\njRs3rNuvXbvG9OnTMRgM1mOkaGlEi4iIiIiIiIiIiBRrwcHBLP9mOe9Mf4dfVv9CFlm44Ubjuo2Z\n+M3EHNMwudr97AkNDaV3794sXryYbt260b59e1JTU1mzZg0dO3Zk5cqVhX7PjRs38s4779C8eXOq\nVq1KYGAgp06dYu3atXh7ezNkyBDrsf3792fWrFlMmzaNAwcOULFiRfbu3cuRI0do1aoV27Zts3uP\nJ598kiFDhtC9e3fKly/Pzz//zNatW6lcuTKvvPKK9ThPT09mz57NoEGD6Nu3L23atKFWrVoYDAaS\nk5NJTEwkODiYDRs2PFQbPT096dGjB9988w2xsbFUqFCBli1b5uvc2NhY5s6dS6tWrahYsSJ+fn4c\nOXKE+Ph4AgMD6d+/f57nt2zZkqFDh/LPf/6TTp060a1bN8xmM6tWreLChQsMGzaMFi1aPFR7pHCo\no0VERERERERERESKveDgYGZMnVHs7pfXmiLvv/8+gYGBLF++nH/9619Uq1aN999/n5CQELsdLfau\nZTAY8rzHvTp27MjZs2dJTEzkhx9+ID09nbJly9KrVy9GjRpF9erVrceWLl2a2NhYpkyZwsaNG/Hw\n8CAyMpIVK1YwY8YMu6NQALp3787AgQP5+9//zurVq/H19aV///689tpr+Pv72xzbsGFD1q5dy8cf\nf8z69evZuXMnXl5elC1blm7dutG7d+98tet+ffv25ZtvviEzM/OhrtGnTx/u3r3Lzp072b17N3fu\n3CEsLIw//OEPjBgxgrCwMOuxuT33KVOmEBERwddff823336LwWCgZs2avPrqq8TExBSoPfLoDGaz\n2ezoECLF2aVLl8jIyHB0jAIJCgoiLS3N0TEKzNXzg+u3QfkdS/kdy5Xze3h4UKZMGUfHyDfVWsdy\n9TYov2Mpv2Mpv+O4Wq0F1VtHUn7nuIc43rx583j55ZeZMWOGpseSB37dF3Wt1RotIiIiIiIiIiIi\nIiIiBaSOFhERERERERERERERkQJSR4uIiIiIiIiIiIiIOLWHWStGpKi5OzqAiIiIiIiIiIiIiEhe\nYmJitNi7OC2NaBERERERERERERERESkgdbSIiIiIiIiIiIiIiIgUkDpaRERERERERERERERECkgd\nLSIiIiIiIiIiIiIiIgWkjhYREREREREREREREZECUkeLiIiIiIiIiIiIiIhIAamjRURERERERERE\nREREpIDcHR1ARERERERERERE5FEEBQU9lusajUZMJtNjuXZRUH7HUv7fDnW0SLFw7NgxYmNjOXz4\nMFlZWVSsWJGoqChat25doOtlZmby2muvcfr0acLCwpgxY0YhJxYRERERERERkcKQlpb22K4dFBT0\nWK//uCm/Yyn/b4c6WsTl7d+/n6lTp+Ll5UVkZCQ+Pj5s27aNDz/8kMuXLxMVFfXQ14yNjeXixYuP\nIa2IiIiIiIiIiIiIFCdao0VcWlZWFp9++ilubm689dZbvPjiiwwePJj333+fcuXK8d1335GamvpQ\n1zx27BjLli1j0KBBjym1iIiIiIiIiIiIiBQX6mgRl7Z//35SUlJo27YtlSpVsm739fWlT58+ZGZm\nsmHDhnxf7+7du8ycOZPatWvTpUuXx5BYRERERERERERERIoTdbSISztw4AAADRo0yLGvYcOGABw8\neDDf1/vuu++4fPkyI0eOLJyAIiIiIiIiIiIiIlKsqaNFXNqFCxcAKFeuXI59AQEBeHl5WY95kKSk\nJH744QeeffZZQkJCCjWniIiIiIiIiIiIiBRP6mgRl5aeng5kTxVmj4+Pj/WYvNy+fZuPP/6YWrVq\n0a1bt0LNKCIiIiIiIiIiIiLFlzpaRICvv/6aK1euaMowEREREREREREREXko7o4OIPIoLCNZchu1\ncuvWLfz8/PK8xoEDB4iLi2Pw4MGULVu20DO6u7vul5nBYMDDw8PRMQrM1fOD67dB+R1L+R3LlfO7\nWu1ytbz3cuX3iYWrt0H5HUv5HUv5HccVa5crZrZw5fcKKL+jKb9jKb9juXL+oq5bBrPZbC7SO4oU\nom+//ZalS5cyZswYIiMjbfZduXKF4cOHU69ePd54441cr7Fy5Ur+9a9/PfBevr6+fPnll3b3bd68\nmZ9++slmW506dejZs2c+WiEiIuKcli1bxsGDB222tWnThrZt2xZ5FtVaEREpjpyp1oLqrYiIFD9F\nVmvNIi5s9+7d5piYGPOsWbNy7IuPjzfHxMSYFyxYkOc19u7da/7444/Nn3zySY7/YmJizEOGDDF/\n8skn5i+//PKh8y1duvShz3EmBWmzM3H1/Gaz67dB+R1L+R3L1fO7Sg1zlZy5cfX3idns+m1QfsdS\nfsdSfsdypRrmSlntcfX3ivI7lvI7lvI7lqvnL8r65brjPkWA+vXrExISwubNm+nWrRuVK1cGsqcS\nW7x4Me7u7rRv3956/PXr17l27Rr+/v7WKcXq169P/fr17V5//fr1BAQEMHz48ALlO3jwoEt/8ufi\nxYuOjvBIXD0/uH4blN+xlN+xXD2/q9QwV8mZG1d/n4Drt0H5HUv5HUv5HcuVapgrZbXH1d8ryu9Y\nyu9Yyu9Yrp6/KOuXOlrEpRmNRkaMGMHUqVOZNGkSbdq0wdvbm8TERFJTUxk8eDClS5e2Hv/DDz+w\ncOFCoqOj6devnwOTi4iIiIiIiIiIiEhxoI4WcXkRERFMmTKF2NhYtmzZQlZWFhUrVmTQoEG0bt3a\n5liDwWDzfxERERERERERERGRR6GOFikWqlevzmuvvfbA4/r16/dQI1nmzZv3KLFERERERERERERE\npJhzmzx58mRHhxApzipWrOjoCI9E+R3P1dug/I6l/I6l/EXDVXLmxtXzg+u3QfkdS/kdS/kdy5Xy\nu1JWe5TfsZTfsZTfsZTfsYoqv8FsNpuL5E4iIiIiIiIiIiIiIiLFjNHRAURERERERERERERERFyV\nOlpEREREREREREREREQKSB0tIiIiIiIiIiIiIiIiBaSOFhERERERERERERERkQJyd3QAEVe0adMm\nDh06xPHjxzl9+jRZWVmMHDmSDh062D0+PT2d2NhYEhMTuXr1KgEBAbRu3Zro6Gi8vb2LNHtaWhpb\nt27ll19+ITk5matXr1KyZElq1apFr169qF69ulPnB8jIyODbb7/l+PHjXLhwgRs3buDr60tISAjt\n27enY8eOeHh4OHUb7rdkyRK+++47AN555x1q1Khhs9/Z8o8ePZrU1FS7++rWrcukSZNstjlbfovt\n27ezZs0aTpw4wZ07dwgMDKRGjRoMGjSI4OBgp8y/YcMGPv744zyPqVevHm+88Yb1786UH8BkMrF5\n82bi4uI4f/48t2/fJjg4mLp169K7d29CQkJsjnfG/D/++CPx8fGcO3cOo9FI5cqV6dGjB82aNctx\nvCPyF0WdSkhIYNWqVZw9exZ3d3dq1apF//79qVKlisu04XFRrXWONtxPtdYxVGtVawuaX7VWtfZB\nXL3eFsdaC65Vb1VrVWsfhWpt0eR3pXrrNnny5MkP2T6R37z//d//5cCBA5hMJkqWLEl6ejotWrSg\ncuXKOY69ffs2kyZNYufOndSsWZMWLVqQlZVFQkIC+/bto127dri5uRVZ9kWLFjF//nyMRiP169en\nQYMGeHt7s3PnTtavX09YWBgVKlRw2vwAN2/e5B//+AelS5emZs2aNGjQgJCQEE6ePMlPP/3E/v37\nad++PUaj0WnbcK/Tp0/z97//HQ8PD7KysujcuTNBQUHW/c6Yf9WqVQD07t2biIiIHP/d+7XgjPnN\nZjOfffYZc+fOxWg00qJFC+rWrUuJEiU4fPgw9evXp3Tp0k6bPzAw0O5zv3btGteuXeOpp56iVq1a\nTpt/1qxZLFiwAJPJZH32GRkZbN26lfj4eJo1a0apUqWcMr/ZbGbGjBmsXLkSb29vWrduTfny5Tl8\n+DDx8fH4+fnZ/KPeUfkfd51atGgRX375Je7u7rRv356yZcvy888/ExcXR7169axfP87chsdJtdY5\n2nAv1VrV2oelWqta+yCqtY5/n7t6vS1utRZcr96q1qrWPgrV2qLJ71L11iwiD23fvn3mS5cumc1m\ns3nx4sXmmJgY84YNG+weO2/ePHNMTIx57ty5Ntvnzp1rjomJMS9evPix571XYmKiOSkpKcf2gwcP\nmp999lnzH//4R3NGRoZ1u7PlN5vNZpPJZM7MzMyxPSsryzx58mRzTEyMedu2bdbtztgGi4yMDPOr\nr75qnjBhgvkf//iHOSYmxnz06FGbY5wx/6hRo8yjR4/O17HOmH/lypXmmJgY8xdffGE2mUw59mdl\nZVn/7Iz57cnIyDAPHTrU/Oyzz5qvXr1q3e5s+S9evGiOiYkxjx492pyenm6zb8WKFeaYmBjzrFmz\nrNucLf/WrVvNMTEx5jfffNN89+5d6/Zr166ZR40aZR44cKA5JSXFut1R+R9nnTp37px5wIAB5j//\n+c82r+GJEyfMAwcONI8dO9bu15UzteFxU639L2f4Xqlaq1pbWFRri4ZqrWptfrl6vS1OtdZsds16\nq1rrPO8fC9XaouEqtdZsdq16qzVaRAogvz2aZrOZdevW4e3tTXR0tM2+vn374u3tzbp16x5XTLta\ntGhBnTp1cmyvXbs2ERER3Lx5k9OnTwPOmR/AYDDY7Sk3Go00b94cgF9//RVw3jZYLFq0iOTkZEaO\nHInBYMix39nzP4gz5r979y6xsbGEhoYyZMgQu8/d8qkxZ8yfm+3bt3Pjxg2aNGmCv78/4Jz5r1+/\nDkCtWrXw8fGx2dekSRObY5wx/44dOwDo06ePzVQOfn5+dO/enczMTOLj4wHH5n+cdSo+Ph6TyUSf\nPn1sXsPKlSvTpk0bkpOTOXTokFO34XFTrf0vZ/heqVqrWltYVGuLhmqtam1+uXq9LU61Fop3vXXG\n7Kq12VRrC8ZVai24Vr1VR4vIY3T+/HmuXLlC7dq18fT0tNnn5eVFzZo1SUlJ4fLlyw5KaMvyQ57l\n/66W32QysWfPHgwGA7Vr1wacuw3Hjx9n8eLFREdHU758ebvHOHP+jIwMNmzYwKJFi1i9ejXHjh3L\ncYwz5t+zZw/p6ek0b94ck8lEYmIiS5Ys4ccff+TChQtOnz8369evB6Bz587Wbc6Yv0KFCvj7+3Po\n0CFu3bpls2/Xrl1A9g9S4Jz5r1y5ApBjvt17tx04cABwzvz3K0jGpKQkABo2bJjjeo0aNQLg4MGD\njzG1LVd4zvdSrS1aqrWqtYVJtbZoqNaq1hYGV663rlZrwbXrrWqt498/91KtLRrFrdaCc9Rb94IE\nF5H8sRS3smXL2t1frlw59u7dy4ULF2wWKHOE1NRU9u3bR2BgIBUrVgScP39mZiaLFi0Csj8psH//\nfn799Veef/5561yNztqGjIwMZs6cSZUqVejVq1euxzlrfsguzPcvXletWjXGjBlDaGgo4Jz5jx8/\nDmR/guzll1+2+SHUYDDQvXt3Bg8eDDhnfnsuXbrEvn37CA4Otv4wAM6Z39PTk/Hjx/OPf/yDP//5\nzzRr1gwfHx9OnTrFgQMH6Nq1K08//bTT5vfz8wPg4sWLhIWF2exLSUkBsn/AA+fMf7+CZDx//jze\n3t7W+YbvZbmO5RkUBVd4zhaqtaq1D0u11vFfAxaqtaq1BaVaW/Rcrd66cq0F16+3qrXO8zWsWqta\n+yicod6qo0XkMUpPTwfA19fX7n7LsDTLcY6SmZnJP/7xDzIzM3nuueesQ06dPX9mZiYLFy602da2\nbVvq169v/buztmHevHlcuHCB9957z+4QXwtnzd+xY0fq1KlDhQoV8Pb25ty5c6xYsYKEhASmTJnC\ntGnT8Pb2dsr8V69eBWDlypVUrVqVd999l/Lly3PixAk+/fRTVqxYQWhoKF26dHHK/PZYhvR26NDB\n5v3krPkrVqzIE088wfLly4mLi7Nur127Nm3atLEOcXfG/E2aNGHr1q0sWbKEevXqWYdZX79+nZUr\nVwLZC5vem8uZ8t+vIBnT09MJCAjI9/GPmys8Z1Ctvfe4oqJam021tnCo1qrWFpRqbdFyxXrryrUW\nXLveqtZmc5avYdVa1dpH4Qz1Vh0tIr9xJpOJWbNmcejQITp37swTTzzh6Ej55u3tzbx58wBIS0tj\n586dfPfdd+zevZupU6fm2ovtaEeOHGHFihXExMQQHh7u6DgFcv98l5UrV+all14CICEhgbi4OKKi\nohwR7YHMZjMA7u7ujB8/3lpUa9euzbhx4xg/fjwrVqygS5cujoyZbyaTiQ0bNmAwGOjYsaOj4zxQ\nZmYmkydP5tSpUwwYMIAnnniCEiVKcOLECb766ismT57Myy+/TLNmzRwd1a62bduyYcMGDhw4wCuv\nvELDhg3JzMxkx44dBAYGkpqaav2BWsRCtbboqdY6lmqtY6nWym+Vq9ZbV6214Pr1VrXWeajWFi3V\n2sdDT0zkMbL0oubW+2mZxzG33tbHzWQy8fHHH/PTTz/xxBNP8OKLL9rsd/b89woKCqJLly4MHz6c\nGzduWIdeO1sbsrKymDlzJpUqVcp1WLXlB6Z7czlL/gd56qmngOwfuME581vuVa1atRyfXKhQoQIh\nISFcvHiR9PR0p8x/v3379nH58mXq1atHmTJlbPY5Y/5NmzZx4sQJunXrRq9evQgKCsLLy4vatWvz\nl7/8BXd3d77++mubXM6U32g08vrrr9OvXz8MBgPr1q1jx44dtGjRgnHjxgFYF210xvz3K0hGX19f\np2qTsz9n1VrV2sKmWlv0VGtVax+Fam3RKC711lVqLRTveqtaW/RUa1VrH5Uz1FuNaBF5jMqVKwdg\nM1fmvSzz/FmOK0qWT/skJCTQpk0bRo8eneMYZ86fmwYNGgBw5swZ4L9zKjpLG27fvm3NMnDgQLvH\nTJw4EYDx48dbFxJ0lvwPYpnn886dO4DzPX/A+kxzK5YlSpQA4O7du06Z/37r1q0DoFOnTjn2OePX\nsGUuYcvCgPcKCAggLCyMkydPcufOHad9/u7u7kRHR+f4BJxlscBq1aoBzvn+v19B3iPlypXj6NGj\nXLlyJcc/6hzRJmd8n1uo1mZTrS1cqrVFT7VWtfZRqNY+fsWx3jp7rYXiXW9Va4ueaq1q7aNyhnqr\njhaRx6hcuXIEBgZy6NAh7ty5g5eXl3Xf7du3OXz4MCEhIQQFBRVprnt/EI2MjORPf/qT3blUnTV/\nXtLS0oD/zqXobG3w8PCgY8eOdp93UlISFy5coFmzZvj7+1OmTBnKlStHQECA0+R/kKNHjwJYP4Hi\nbM8fICIiAoDk5OQc+zIzM7lw4QLe3t74+/tTqlQpp8t/r+vXr7Nz505KlixJixYtcux3xudvmfvV\nMqfw/a5du4bRaMTNzc3l3v8JCQkAREZGAs75/O9XkIx169bl6NGj7N27l3bt2tlcb8+ePdZjioqz\nPmfV2myqtYVPtbZoqdY61/tftVa19n7Ftd46e62F4l1vVWuLlmqt87z3wTVrLThHvdXUYSKPWadO\nnbh9+3aOxe0WLlzInTt36Ny5c5HmsQypTkhIoHXr1rn+IGrhbPkBzp49a/1kyb3u3LnDv/71LwDr\nPJgGg8Gp2uDp6cmIESMYPnx4jv9q1qwJQJ8+fRg+fDiVKlUCoHPnzk6TH+DcuXN2n39ycjJz584F\nsuf7BOd7/gChoaE0aNCACxcusH79ept9S5YsIT09nebNm2M0Gp0y/702bdpEVlYWTzzxBO7u9j87\n4Wz5LZ/4WbFiRY4huj/++CNpaWnUrFkTd3d3DAaD073/wf5Q5G3bthEfH0/16tVp2bIl4Jzvf3se\nNmPHjh0xGo0sWrTI5lmcPHmSn376ifDwcGrXrl0k2S2c7Tmr1v6Xam3BqNZmc4bvlaq1qrWFQbX2\n8XD1euvKtRZcv96q1mZzhu+VqrWqtYXF0fVWI1pECmDdunUcOnQIgNOnT1u37d+/H4A6depYhzv2\n6tWLnTt3snTpUk6cOEGVKlU4ceIEe/fupXr16nTv3r1Isy9YsIBNmzbh7e1N2bJlWbBgQY5jWrRo\nQeXKlZ0yP8CWLVtYuXIltWvXpkyZMvj4+JCWlsbu3bu5ceMGjRo14umnn7Ye74xteBjOln/z5s2s\nXLmSOnXqULp0aby9vTl37hy//PILJpOJPn362BQiZ8sP8PzzzzNx4kQ+/fRTtm/fbh3We+DAAcqU\nKcPgwYOdOr+F5QfqvH6ocbb8TZs2pVGjRuzevZsxY8bQtGlT66KBBw4cwNPTk9///vdOmx9gwoQJ\nlC5dmrCwMDw8PPj3v/9NUlISoaGhjB071uYf+I7K/zjrVLly5ejXrx/z5s1j/PjxtGzZklu3brFl\nyxYMBgPDhw93+jY8bqq1ztGGh+Fs+VVrHZ/fQrVWtTY3qrWOf5+4er39rdVacK42qNY6Pr+Faq1q\nbV5cqd4azPeuTCUi+TJr1iw2btyY6/727dszatQo69/T09OJjY0lMTGRK1euEBgYSOvWrYmOjsbb\n27soIls9KDvAqFGjaN++vfXvzpQfsufCjIuL4/Dhw6SlpXH79m1KlixJ5cqVadu2rU12Z22DPZbX\nZurUqVSvXt1mnzPlT0pK4scff+TEiRNcvXqVO3fu4O/vT40aNejSpYt1PmFnzW9x+fJl5s2bx549\ne7h+/TqBgYE0bdqU6Oho66Jvzpz/2LFjTJgwgerVqzN16tQ8j3W2/FlZWaxevZrNmzeTnJxMRkYG\nAQEBRERE8MwzzxAWFubU+WNjY9m+fTspKSlkZWURGhpKy5Yt6dmzp908jshfFHXK8o/Ts2fP4u7u\nTq1atRgwYID1lxmu0IbHRbXWOdpgj2pt0VKtVa0tKNXabKq1eXP1eltcay24Rr1VrXWO/Kq1qrUP\n4kr1Vh0tIiIiIiIiIiIiIiIiBaQ1WkRERERERERERERERApIHS0iIiIiIiIiIiIiIiIFpI4WERER\nERERERERERGRAlJHi4iIiIiIiIiIiIiISAGpo0VERERERERERERERKSA1NEiIiIiIiIiIiIiIiJS\nQOpoERERERERERERERERKSB1tIiIiIiIiIiIiIiIiBSQOlpEREREREREREREREQKSB0tIiIiIiIi\nIiIiIiIiBaSOFhEREREReaxMJhMrVqzg1VdfZfDgwfTv35/+/fuzY8eOfJ0/efJk+vfvT2xsbKHm\nmjlzJv3792fWrFmFet38OHDggPU5OMLo0aPp378/GzZscMj9C8vjfA0f1/vOWVjef0lJSY6OIiIi\nIuLy3B0dQERERERE8paZmcnixYvZtGkTly9fpmTJkjRt2pRnn30Wf3//XM976623OHjwIH/961+p\nWrVqESa2NWfOHNasWQOAu7s7AQEBAHh6ej7UdQwGQ6Fn+6172Geanp7OihUrMBgMdO/eHV9f38eU\nzHnoffdw5s+fj8FgoEOHDpQpU8bRcURERESKhDpaRERERESc3Icffmgd/eHt7c3Vq1dZv349SUlJ\nvPvuu3Z/2R0fH09SUhLdunVzaCfLrVu3WLt2LQCDBg2iR48eDssij+7GjRssXLgQgI4dOzq8oyUw\nMJCwsDACAwML/dqlS5cmLCwMPz+/Qr92cWZ5f0RERKijRURERH4z1NEiIiIiIuLE9u/fz44dO/D1\n9eUvf/kLtWvXJiUlhffee4+zZ8+ycuVK+vXrZ3POtWvX+OabbwgODmbAgAEOSp4tOTkZk8kEQJcu\nXRyaRR6ds43uGDhwIAMHDnws137ppZcey3VFREREpPjRGi0iIiIiIk5s7969AHTu3JnatWsDEBIS\nwrPPPmuz/15fffUVN27cYOjQoXh7exddWDvu3r1r/bOXl5cDk0hhMJvNdv8sIiIiIvJbphEtIiIi\nIiJO7Nq1awCULVvWZrvl75b9Fnv37mXz5s20aNGCZs2aFVoOk8nEhg0bSEhI4PTp09y6dQs/Pz9q\n1arF008/Td26dW2O37BhAx9//LHNtnsXfq9bty6TJk165FxXrlxh69at7Nu3j/Pnz5OWlkZmZiZB\nQUFEREQQFRVFeHh4vq71448/Eh8fz7lz5wCoVKkSXbp0oW3btnmel5KSwqpVq9i7dy+XLl3CbDZT\nunRpGjVqRFRUFKVLly5Q2zIzM1m3bh3btm3j9OnTpKenU7JkSWrUqEGXLl1o1KhRrufevXuX5cuX\ns3nzZlJSUvDx8aFatWr06NGDTP5g2gAAFRZJREFUevXqFSjP5MmTOXjwoPXv94/4uPc1tbz+pUuX\nZubMmezfv59Vq1Zx7Ngxrl69Svv27Rk1ahSQ/fy2bNnCgQMHSElJIS0tDcieuqthw4Z5PsOZM2ey\nadMmm+vdnzc6Opp+/foRFxfH+vXrSU5Oxmw2U7FiRbp27coTTzyRZ3st599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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.style.use('ggplot')\n", + "# how to set back to default stylesheet??\n", + "#plt.rcdefaults()\n", + "#plt.rcParams.update(plt.rcParamsDefault)\n", + "\n", + "def plot_curve(axis, feature, task, f1s, reg_f1, title):\n", + " xticks = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]\n", + " axis.plot(xticks, [reg_f1] * len(f1s), 'b--', label='distant supervision', lw=3)\n", + " axis.plot(xticks, f1s, 'go-', label='full supervision')\n", + " axis.set_title(title + '\\n', size=17)\n", + " \n", + "\n", + "def plot_learning_curves(sup_res, reg_res, pcts):\n", + " \"\"\"\n", + " 3x3 plot with rows for task {gender, ethnicity, politics}\n", + " and columns for features {followers, text, both}\n", + " \"\"\"\n", + " figure, axes = plt.subplots(3, 3, figsize=(15,8), sharex=True, sharey=True)\n", + " for col, feature in enumerate(['Friends', 'Text', 'Friends+Text']):\n", + " tasks = sup_res[feature]\n", + " for row, (task, f1s) in enumerate(tasks.items()):\n", + " title = feature if row == 0 else ''\n", + " plot_curve(axes[row][col], feature, task, f1s, reg_res[feature][task], title)\n", + " axes[1][0].set_ylabel('Macro F1', size=18)\n", + " axes[2][1].set_xlabel('% of labeled training data', size=18)\n", + " axes[2][2].legend(loc='lower right', prop={'size':14})\n", + " axes[0, 0].text(-.36, .35, 'Gender',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=17, transform=axes[0, 0].transAxes)\n", + " axes[1, 0].text(-.36, .35, 'Ethnicity',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=17, transform=axes[1, 0].transAxes)\n", + " axes[2, 0].text(-.36, .35, 'Politics',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=17, transform=axes[2, 0].transAxes)\n", + "\n", + " plt.tick_params(axis='both', labelsize=14)\n", + " figure.tight_layout()\n", + " figure.show()\n", + " plt.savefig('curves.pdf', bbox_inches='tight')\n", + "\n", + "\n", + "plot_learning_curves(sup_res, reg_res, pcts)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 633, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(509, 112642)" + ] + }, + "execution_count": 633, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_race_text.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 674, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "data": { + "image/png": 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PyYy5I9AhoQSfC1FXXXWVBg8erJtuuqkm4/G7e++9t9T9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\nUAAAAGDAo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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot no. followers and no. terms per user in labeled data.\n", + "def get_nnzs(X):\n", + " return sorted([row.nnz for row in X if row.nnz > 0], reverse=True)\n", + "\n", + "def plot_labeld_data(X_gender_fol, X_gender_text, X_race_fol, X_race_text, X_pol_fol, X_pol_text):\n", + " \"\"\" Plot log/log plots of number of followers/terms for each labeled user. \"\"\"\n", + " plt.style.use('ggplot')\n", + " figure, axes = plt.subplots(2, 3, figsize=(12,7), sharex=True, sharey=True)\n", + " axes[0][0].plot(get_nnzs(X_gender_fol))\n", + " axes[0][0].set_title('Gender')\n", + " axes[0][1].plot(get_nnzs(X_race_fol))\n", + " axes[0][1].set_title('Ethnicity')\n", + " axes[0][2].plot(get_nnzs(X_pol_fol))\n", + " axes[0][2].set_title('Politics')\n", + " axes[0][0].set_ylabel('# friends', size=16)\n", + " axes[1][0].plot(get_nnzs(X_gender_text))\n", + " axes[1][1].plot(get_nnzs(X_race_text))\n", + " axes[1][2].plot(get_nnzs(X_pol_text))\n", + " axes[1][0].set_ylabel('# unique terms', size=16)\n", + " for a in np.reshape(axes, -1):\n", + " a.set_yscale('log')\n", + " a.set_xscale('log')\n", + " #a.yaxis.set_ticks([1e1, 1e2, 1e3])\n", + " axes[1, 1].set_xlabel('user rank', size=14)\n", + " figure.tight_layout()\n", + " figure.show()\n", + " plt.savefig('lab-data.pdf', bbox_inches='tight')\n", + " figure.show()\n", + "\n", + "plot_labeld_data(X_gender_fol, X_gender_text, X_race_fol, X_race_text, X_pol_fol, X_pol_text)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 677, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "acc= 0.502857142857 f1= 0.502272058583\n", + "acc= 0.485714285714 f1= 0.484350445259\n", + "acc= 0.537142857143 f1= 0.534956202224\n", + "acc= 0.565714285714 f1= 0.559369202226\n", + "acc= 0.514285714286 f1= 0.514031820706\n", + "nfeats= 10 mean f1= 0.5189959458\n", + "acc= 0.577142857143 f1= 0.576465201465\n", + "acc= 0.554285714286 f1= 0.553103719225\n", + "acc= 0.548571428571 f1= 0.54804014515\n", + "acc= 0.577142857143 f1= 0.577018552391\n", + "acc= 0.525714285714 f1= 0.525714285714\n", + "nfeats= 100 mean f1= 0.556068380789\n", + "acc= 0.725714285714 f1= 0.725633655605\n", + "acc= 0.765714285714 f1= 0.765714285714\n", + "acc= 0.725714285714 f1= 0.725705329154\n", + "acc= 0.782857142857 f1= 0.782509157509\n", + "acc= 0.748571428571 f1= 0.748563218391\n", + "nfeats= 1000 mean f1= 0.749625129275\n", + "acc= 0.828571428571 f1= 0.827891424076\n", + "acc= 0.8 f1= 0.799895455585\n", + "acc= 0.788571428571 f1= 0.788322599627\n", + "acc= 0.828571428571 f1= 0.828296703297\n", + "acc= 0.805714285714 f1= 0.804943613952\n", + "nfeats= 2000 mean f1= 0.809869959307\n", + "acc= 0.857142857143 f1= 0.85622268231\n", + "acc= 0.857142857143 f1= 0.85622268231\n", + "acc= 0.857142857143 f1= 0.85622268231\n", + "acc= 0.857142857143 f1= 0.85622268231\n", + "acc= 0.857142857143 f1= 0.85622268231\n", + "nfeats= 8029 mean f1= 0.85622268231\n", + "acc= 0.387033398821 f1= 0.37439401821\n", + "acc= 0.396856581532 f1= 0.385668451104\n", + "acc= 0.371316306483 f1= 0.35668781876\n", + "acc= 0.408644400786 f1= 0.396412092219\n", + "acc= 0.367387033399 f1= 0.351848077184\n", + "nfeats= 10 mean f1= 0.373002091495\n", + "acc= 0.557956777996 f1= 0.548857043363\n", + "acc= 0.520628683694 f1= 0.513976167069\n", + "acc= 0.534381139489 f1= 0.531884032011\n", + "acc= 0.502946954813 f1= 0.493263734629\n", + "acc= 0.563850687623 f1= 0.556014745109\n", + "nfeats= 100 mean f1= 0.528799144436\n", + "acc= 0.766208251473 f1= 0.760314709626\n", + "acc= 0.7721021611 f1= 0.765712863623\n", + "acc= 0.746561886051 f1= 0.740095133614\n", + "acc= 0.766208251473 f1= 0.760970018668\n", + "acc= 0.770137524558 f1= 0.76513694764\n", + "nfeats= 1000 mean f1= 0.758445934634\n", + "acc= 0.829076620825 f1= 0.825394044316\n", + "acc= 0.799607072692 f1= 0.793806215449\n", + "acc= 0.840864440079 f1= 0.835180262666\n", + "acc= 0.825147347741 f1= 0.818659365523\n", + "acc= 0.819253438114 f1= 0.814111261872\n", + "nfeats= 2000 mean f1= 0.817430229965\n", + "acc= 0.86836935167 f1= 0.863567734103\n", + "acc= 0.86836935167 f1= 0.863567734103\n", + "acc= 0.86836935167 f1= 0.863567734103\n", + "acc= 0.86836935167 f1= 0.863567734103\n", + "acc= 0.86836935167 f1= 0.863567734103\n", + "nfeats= 8029 mean f1= 0.863567734103\n", + "acc= 0.551912568306 f1= 0.541941391941\n", + "acc= 0.516393442623 f1= 0.511400061846\n", + "acc= 0.521857923497 f1= 0.513840922374\n", + "acc= 0.532786885246 f1= 0.51943793911\n", + "acc= 0.592896174863 f1= 0.587722547723\n", + "nfeats= 10 mean f1= 0.534868572599\n", + "acc= 0.549180327869 f1= 0.548772742556\n", + "acc= 0.543715846995 f1= 0.54343977591\n", + "acc= 0.584699453552 f1= 0.584649843213\n", + "acc= 0.573770491803 f1= 0.573452067894\n", + "acc= 0.530054644809 f1= 0.529154824233\n", + "nfeats= 100 mean f1= 0.555893850761\n", + "acc= 0.57650273224 f1= 0.574185412867\n", + "acc= 0.587431693989 f1= 0.584825151185\n", + "acc= 0.587431693989 f1= 0.584450543254\n", + "acc= 0.584699453552 f1= 0.582593037215\n", + "acc= 0.590163934426 f1= 0.588085234094\n", + "nfeats= 1000 mean f1= 0.582827875723\n", + "acc= 0.581967213115 f1= 0.578946576939\n", + "acc= 0.581967213115 f1= 0.578946576939\n", + "acc= 0.581967213115 f1= 0.578946576939\n", + "acc= 0.581967213115 f1= 0.578946576939\n", + "acc= 0.581967213115 f1= 0.578946576939\n", + "nfeats= 1412 mean f1= 0.578946576939\n", + "acc= 0.634285714286 f1= 0.633986928105\n", + "acc= 0.691428571429 f1= 0.690934065934\n", + "acc= 0.68 f1= 0.679487179487\n", + "acc= 0.657142857143 f1= 0.656233630173\n", + "acc= 0.645714285714 f1= 0.645702716823\n", + "nfeats= 1 mean f1= 0.661268904104\n", + "acc= 0.64 f1= 0.64\n", + "acc= 0.697142857143 f1= 0.697142857143\n", + "acc= 0.674285714286 f1= 0.674115456238\n", + "acc= 0.68 f1= 0.679905931539\n", + "acc= 0.685714285714 f1= 0.685673230789\n", + "nfeats= 3 mean f1= 0.675367495142\n", + "acc= 0.714285714286 f1= 0.714201724588\n", + "acc= 0.708571428571 f1= 0.707961126926\n", + "acc= 0.702857142857 f1= 0.702614379085\n", + "acc= 0.714285714286 f1= 0.714052287582\n", + "acc= 0.702857142857 f1= 0.702380952381\n", + "nfeats= 5 mean f1= 0.708242094113\n", + "acc= 0.737142857143 f1= 0.736928104575\n", + "acc= 0.714285714286 f1= 0.713827838828\n", + "acc= 0.725714285714 f1= 0.725490196078\n", + "acc= 0.737142857143 f1= 0.737065586621\n", + "acc= 0.731428571429 f1= 0.731112491418\n", + "nfeats= 10 mean f1= 0.728884843504\n", + "acc= 0.742857142857 f1= 0.742823552464\n", + "acc= 0.725714285714 f1= 0.725705329154\n", + "acc= 0.754285714286 f1= 0.754285714286\n", + "acc= 0.725714285714 f1= 0.725705329154\n", + "acc= 0.737142857143 f1= 0.737134273772\n", + "nfeats= 20 mean f1= 0.737130839766\n", + "acc= 0.737142857143 f1= 0.737134273772\n", + "acc= 0.765714285714 f1= 0.7655918194\n", + "acc= 0.737142857143 f1= 0.737134273772\n", + "acc= 0.76 f1= 0.759929448654\n", + "acc= 0.754285714286 f1= 0.754253616799\n", + "nfeats= 30 mean f1= 0.750808686479\n", + "acc= 0.754285714286 f1= 0.754253616799\n", + "acc= 0.76 f1= 0.759929448654\n", + "acc= 0.76 f1= 0.759992163009\n", + "acc= 0.748571428571 f1= 0.748563218391\n", + "acc= 0.754285714286 f1= 0.754253616799\n", + "nfeats= 40 mean f1= 0.75539841273\n", + "acc= 0.748571428571 f1= 0.748563218391\n", + "acc= 0.748571428571 f1= 0.748563218391\n", + "acc= 0.76 f1= 0.759929448654\n", + "acc= 0.76 f1= 0.759929448654\n", + "acc= 0.748571428571 f1= 0.748563218391\n", + "nfeats= 50 mean f1= 0.753109710496\n", + "acc= 0.554027504912 f1= 0.539057697909\n", + "acc= 0.5442043222 f1= 0.538017743778\n", + "acc= 0.575638506876 f1= 0.573375523447\n", + "acc= 0.536345776031 f1= 0.530345249637\n", + "acc= 0.557956777996 f1= 0.549407296431\n", + "nfeats= 1 mean f1= 0.54604070224\n", + "acc= 0.573673870334 f1= 0.56990745238\n", + "acc= 0.58742632613 f1= 0.584638067871\n", + "acc= 0.571709233792 f1= 0.568590208538\n", + "acc= 0.577603143418 f1= 0.574504314258\n", + "acc= 0.573673870334 f1= 0.571352948383\n", + "nfeats= 3 mean f1= 0.573798598286\n", + "acc= 0.595284872299 f1= 0.590142627099\n", + "acc= 0.60510805501 f1= 0.60020488891\n", + "acc= 0.612966601179 f1= 0.609278972817\n", + "acc= 0.56974459725 f1= 0.565129877666\n", + "acc= 0.565815324165 f1= 0.56236569748\n", + "nfeats= 5 mean f1= 0.585424412795\n", + "acc= 0.597249508841 f1= 0.590947466524\n", + "acc= 0.60510805501 f1= 0.599948390634\n", + "acc= 0.611001964637 f1= 0.605737195544\n", + "acc= 0.607072691552 f1= 0.602796092796\n", + "acc= 0.60510805501 f1= 0.598218962808\n", + "nfeats= 10 mean f1= 0.599529621661\n", + "acc= 0.614931237721 f1= 0.609197771268\n", + "acc= 0.593320235756 f1= 0.588259565035\n", + "acc= 0.601178781925 f1= 0.596486504678\n", + "acc= 0.614931237721 f1= 0.608219349535\n", + "acc= 0.609037328094 f1= 0.603737476078\n", + "nfeats= 20 mean f1= 0.601180133319\n", + "acc= 0.612966601179 f1= 0.607591519844\n", + "acc= 0.603143418468 f1= 0.597633998643\n", + "acc= 0.60510805501 f1= 0.598882544995\n", + "acc= 0.599214145383 f1= 0.593930853931\n", + "acc= 0.60510805501 f1= 0.599576250156\n", + "nfeats= 30 mean f1= 0.599523033514\n", + "acc= 0.60510805501 f1= 0.599648097334\n", + "acc= 0.603143418468 f1= 0.596876058144\n", + "acc= 0.597249508841 f1= 0.59208175142\n", + "acc= 0.603143418468 f1= 0.597631151737\n", + "acc= 0.603143418468 f1= 0.597261263219\n", + "nfeats= 40 mean f1= 0.596699664371\n", + "acc= 0.60510805501 f1= 0.598859526504\n", + "acc= 0.601178781925 f1= 0.59524707968\n", + "acc= 0.603143418468 f1= 0.597224648471\n", + "acc= 0.60510805501 f1= 0.599226650473\n", + "acc= 0.603143418468 f1= 0.597185437642\n", + "nfeats= 50 mean f1= 0.597548668554\n", + "acc= 0.685792349727 f1= 0.679062426133\n", + "acc= 0.680327868852 f1= 0.671799195248\n", + "acc= 0.636612021858 f1= 0.626917033915\n", + "acc= 0.644808743169 f1= 0.636294144626\n", + "acc= 0.655737704918 f1= 0.649712879409\n", + "nfeats= 1 mean f1= 0.652757135866\n", + "acc= 0.693989071038 f1= 0.684336978284\n", + "acc= 0.685792349727 f1= 0.674213398351\n", + "acc= 0.726775956284 f1= 0.717592592593\n", + "acc= 0.713114754098 f1= 0.704918032787\n", + "acc= 0.707650273224 f1= 0.697513652128\n", + "nfeats= 3 mean f1= 0.695714930829\n", + "acc= 0.718579234973 f1= 0.707574758562\n", + "acc= 0.696721311475 f1= 0.685545106235\n", + "acc= 0.724043715847 f1= 0.715056540071\n", + "acc= 0.724043715847 f1= 0.71261088263\n", + "acc= 0.715846994536 f1= 0.703735990037\n", + "nfeats= 5 mean f1= 0.704904655507\n", + "acc= 0.765027322404 f1= 0.756105876519\n", + "acc= 0.770491803279 f1= 0.762286209136\n", + "acc= 0.767759562842 f1= 0.75970710683\n", + "acc= 0.75956284153 f1= 0.748728350757\n", + "acc= 0.795081967213 f1= 0.785592101666\n", + "nfeats= 10 mean f1= 0.762483928982\n", + "acc= 0.765027322404 f1= 0.753237793597\n", + "acc= 0.781420765027 f1= 0.771021021021\n", + "acc= 0.789617486339 f1= 0.779336804604\n", + "acc= 0.795081967213 f1= 0.785068316173\n", + "acc= 0.803278688525 f1= 0.795809571039\n", + "nfeats= 20 mean f1= 0.776894701287\n", + "acc= 0.808743169399 f1= 0.7991470413\n", + "acc= 0.77868852459 f1= 0.770034518869\n", + "acc= 0.784153005464 f1= 0.773605293035\n", + "acc= 0.792349726776 f1= 0.781931073411\n", + "acc= 0.792349726776 f1= 0.781375754527\n", + "nfeats= 30 mean f1= 0.781218736228\n", + "acc= 0.795081967213 f1= 0.786100007013\n", + "acc= 0.795081967213 f1= 0.78397223512\n", + "acc= 0.808743169399 f1= 0.7991470413\n", + "acc= 0.800546448087 f1= 0.791804006826\n", + "acc= 0.811475409836 f1= 0.801766160367\n", + "nfeats= 40 mean f1= 0.792557890125\n", + "acc= 0.792349726776 f1= 0.78246996997\n", + "acc= 0.803278688525 f1= 0.792882293763\n", + "acc= 0.806010928962 f1= 0.795493715914\n", + "acc= 0.792349726776 f1= 0.781931073411\n", + "acc= 0.803278688525 f1= 0.793408385337\n", + "nfeats= 50 mean f1= 0.789237087679\n" + ] + } + ], + "source": [ + "# Plot F1 as the number of friends per user increases.\n", + "import random\n", + "\n", + "def sample_friends(X, n):\n", + " X_sample = X.copy()\n", + " for i, xi in enumerate(X_sample):\n", + " nnz = xi.getnnz()\n", + " if n < nnz:\n", + " nzcols = xi.nonzero()[1]\n", + " indices = random.sample(range(nnz), nnz - n)\n", + " X_sample[i, nzcols[indices]] = 0.\n", + " X_sample.eliminate_zeros()\n", + " return X_sample\n", + "\n", + "def _do_nfriends_expt(XX, y, m, labels, label_indices, xs=[1,3,5,10,20,30,40,50]):\n", + " ys = []\n", + " stderrs = []\n", + " for nfriends in xs:\n", + " f1s = []\n", + " for sample in range(5):\n", + " X_sample = sample_friends(XX, nfriends)\n", + " pred_reg = label_by_reg(X_sample, m, label_indices=label_indices, standardize_coef=True, rm_neg_coef=False)\n", + " reg_f1 = eval_labeled(y, pred_reg, labels)\n", + " f1s.append(reg_f1)\n", + " print 'nfeats=', nfriends, 'mean f1=', np.mean(f1s)\n", + " ys.append(np.mean(f1s))\n", + " stderrs.append(np.std(f1s)) # / math.sqrt(len(f1s)))\n", + " return npa(xs), npa(ys), npa(stderrs)\n", + "\n", + "\n", + "def get_max_nnz(X):\n", + " return max(r.nnz for r in X)\n", + "\n", + "# collect all results.\n", + "xs_g_t, ys_g_t, stderrs_g_t = _do_nfriends_expt(X_gender_text, y_gender, category_results_text['Gender']['model'],\n", + " gender_labels, [0,1], [10, 100, 1000, 2000, get_max_nnz(X_gender_text)])\n", + "xs_r_t, ys_r_t, stderrs_r_t = _do_nfriends_expt(X_race_text2, y_race2, category_results_text['Ethnicity']['model'],\n", + " race_labels, [0,1,2], [10, 100, 1000, 2000, get_max_nnz(X_race_text2)])\n", + "xs_p_t, ys_p_t, stderrs_p_t = _do_nfriends_expt(X_pol_text, y_pol, category_results_text['Politics']['model'],\n", + " pol_labels, [0,1], [10, 100, 1000, get_max_nnz(X_pol_text)])\n", + "\n", + "xs_g, ys_g, stderrs_g = _do_nfriends_expt(X_gender_fol, y_gender, category_results_fol['Gender']['model'],\n", + " gender_labels, [0,1])\n", + "xs_r, ys_r, stderrs_r = _do_nfriends_expt(X_race_fol2, y_race2, category_results_fol['Ethnicity']['model'],\n", + " race_labels, [0,1,2])\n", + "xs_p, ys_p, stderrs_p = _do_nfriends_expt(X_pol_fol, y_pol, category_results_fol['Politics']['model'],\n", + " pol_labels, [0,1])" + ] + }, + { + "cell_type": "code", + "execution_count": 728, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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D3T1OQYEKZhMEBuJOnIIUAk0KgYEQEqgl0KxBr9WhU3RoFS26oq/1Gr3nex4UFERubm5t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\nhg1j27ZtbNmyhRM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cSXZ29lX3czgczJs3j3bt2slM3UIIIUQtkoSsHlq3bh0DBw4kMTGR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oULO31cmaqqKq5fv47RaOTgwYN4eXnh4OBAbW0tvXr1or6+nt27d+Pp6UldXR2JiYmYTCYWLFiA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\nkpAJIYQQQliYJGRCCCGEEBb2fxNK4vs8A5DpAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def plot_nfriends():\n", + " figure, axes = plt.subplots(3, 2, figsize=(8,5), sharex=False, sharey=True)\n", + " axes[0, 0].plot(xs_g, ys_g, 'bo-', ms=4, lw=1)\n", + " axes[0, 0].fill_between(xs_g, ys_g - stderrs_g, ys_g + stderrs_g, alpha=0.4, facecolor='b')\n", + " axes[0, 0].set_title('Friends', size=16) \n", + " axes[0, 1].plot(xs_g_t, ys_g_t, 'bo-', ms=4, lw=1)\n", + " axes[0, 1].fill_between(xs_g_t, ys_g_t - stderrs_g_t, ys_g_t + stderrs_g_t, alpha=0.4, facecolor='g')\n", + " axes[0, 1].set_title('Text', size=16)\n", + "\n", + " axes[1, 0].plot(xs_r, ys_r, 'bo-', ms=4)\n", + " axes[1, 0].fill_between(xs_r, ys_r - stderrs_r, ys_r + stderrs_r, alpha=0.4, facecolor='b')\n", + " axes[1, 1].plot(xs_r_t, ys_r_t, 'bo-', ms=4)\n", + " axes[1, 1].fill_between(xs_r_t, ys_r_t - stderrs_r_t, ys_r_t + stderrs_r_t, alpha=0.4, facecolor='g')\n", + "\n", + " axes[2, 0].plot(xs_p, ys_p, 'bo-', ms=4)\n", + " axes[2, 0].fill_between(xs_p, ys_p - stderrs_p, ys_p + stderrs_p, alpha=0.4, facecolor='b')\n", + " axes[2, 1].plot(xs_p_t, ys_p_t, 'bo-', ms=4)\n", + " axes[2, 1].fill_between(xs_p_t, ys_p_t - stderrs_p_t, ys_p_t + stderrs_p_t, alpha=0.4, facecolor='g')\n", + "\n", + " axes[2, 0].set_xlabel('friends per user', size=16)\n", + " axes[2, 1].set_xlabel('terms per user', size=16)\n", + " axes[1, 0].set_ylabel('Macro F1', size=18)\n", + " axes[0, 0].text(-.5, .35, 'Gender',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=17, transform=axes[0, 0].transAxes)\n", + " axes[1, 0].text(-.5, .35, 'Ethnicity',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=17, transform=axes[1, 0].transAxes)\n", + " axes[2, 0].text(-.5, .35, 'Politics',\n", + " verticalalignment='bottom', horizontalalignment='center',\n", + " color='black', fontsize=17, transform=axes[2, 0].transAxes)\n", + " for a in np.reshape(axes, -1):\n", + " a.locator_params(nbins=6, tight=True) \n", + " a.set_xlim((-.1, a.get_xlim()[1]*1.01))\n", + " a.set_ylim((a.get_ylim()[0], a.get_ylim()[1] + .01))\n", + " \n", + " plt.subplots_adjust(hspace=.3) \n", + " plt.savefig('friends.pdf', bbox_inches='tight')\n", + " \n", + "plot_nfriends()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.0" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..37f3e31 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,6 @@ +matplotlib==1.5.0 +numpy==1.10.1 +scikit-learn==0.17 +scipy==0.16.1 +tabulate==0.7.5 +-e git+https://github.com/tapilab/twutil.git@0c68ab97354628315cefd067ab039da6a42117e3#egg=twutil-master