Semantic analysis + Tweets + Jazz + balance + information

Quick setup:

Install Flask: pip install flask


python app.py


  • Build NLTK Sentiment Analysis and return the data (Ahmed). Add User as value to Tweet class
  • Design/Build Graph page (All)
  • Deploy to Heroku (All)
  • Add new features (Alexa? Google Card with relevant info? ) (All)
  • Network Graph: use a clustering techique on nodes with similar sentiment, then compare to clusters of the User and their following list to show if people exist in echo chamber or not. If there's high clustering in both, would suggest it is so. Stretch goal fo sho!
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