https://github.com/chrisalbon/election_day_2016_twitter Used to retrieve all tweets related to Election Day 2016 Approximately 6,546,824 total tweets about the elction occured on Nov. 8th
Since the job would take too long to run myself I found an existing dataset @ https://www.kaggle.com/kinguistics/election-day-tweets
Implementing Machine Learning by creating a network graph visualization of hashtags.
Implementing Scalable Big Data through Twitter's API and the ability to retrieve any topic/group of hashtags.
Classification of Tweets via Clustering of Hashtags http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.383.1024&rep=rep1&type=pdf
Suggesting Hashtags on Twitter http://alliemazzia.com/pubs/545-final.pdf
Using machine learning for Twitter hashtag prediction https://prezi.com/ro-8jomcex47/using-machine-learning-for-twitter-hashtag-prediction/
A Machine Learning Approach to Twitter User Classification http://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/viewFile/2886/3262
what was my approach special cases method used to solve classification
what happened? numbers graphs/tables Discussion