Inspiration
What it does -
Analyzes a users tweet history and judges their opinions on the candidates based off of their sentiment in context of their mention of the candidate
How we built it -
Python3.5 with the Flask web framework
Challenges we ran into -
We struggled for hours on how to analyze the text data in a way that would allow for machine learning
Accomplishments that we're proud of -
Getting our code up and running with a web UI
What we learned -
Machine learning on text data is very challenging.
What's next for Political Twitter Sentiment Analysis -
We would like to create an interactive web front-end allowing you to see the text of the tweet scored by our algorithm


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