Informant

Team Members

* Hunter Leise
* Jose Canizares
* Tyler Lugger
* Michael Xiao
* Vincent Mahathirash

Informant Summary

A web presence dashboard visualizing popular sentiment on top companies.

Informant aggregates social media data and produces a measure on online company sentiment and reputation. In tracking the state in real-time, Informant is able to give a clear picture of 'vox populi' opinions, whether they be spikes or smooth waves. Informant is meant as a stock market assistant tool, but also as an on-going narrative, visually analyzing real-time data into an immediate and concise scroll story.

Tools Used:

* Twitter Streaming API
* Kafka
* Storm
* Vader & TextBlob
* D3
* React

Production URLs

www.cuinformant.com

Running Informant Locally

1. 'npm install' (in 'Informant' root directory) - Installs all necessary dependencies.
2. 'npm install -g babel-cli' - Installs babel-node command globally on your computer
3. 'npm run build' - Builds the project for deployment
3. 'babel-node frontEnd.jsx' (in 'build' directory) - Render front-end statically with express
4. 'node stream.js' (in 'build' directory) - Runs a Twitter stream
5. 'bin/zookeeper-server-start.sh config/zookeeper.properties' (in kafka_2.10-0.10.2.0 when you download kafka)
6. 'bin/kafka-server-start.sh config/server.properties' (in kafka_2.10-0.10.2.0)
7. 'python streamProducer.py' (in kafka/companyProducers directory)
8. 'python streamConsumer.py' (in kafka/companyConsumers directory)
9. 'sparse run (in streamparse/tweetprocessing folder)

To Run the Whole Setup

1. node stream.js
2. bin/zookeeper-server-start.sh config/zookeeper.properties (in kafka_2.10-0.10.2.0 when you download kafka)
3. bin/kafka-server-start.sh config/server.properties (in kafka_2.10-0.10.2.0)
4. python streamProducer.py
5. python streamConsumer.py
5. sparse run (in streamparse/tweetprocessing folder)
6. babel-node frontEnd.jsx