/Twitter-Reviews

Web App that analyzes Twitter sentiments for a Twitter User to determine advice on whether you should befriend them or not. Built for UC Berkeley's CalHacks 2014 Hackathon. Built on Python 2/Flask.

Primary LanguagePython

Twitter-Reviews

This was a web app created at UC Berkeley's CalHacks 2014 hackathon.

It uses a twitter sentiment analysis library to analyze tweet history and determine if a person is a generally positive personality or negative personality person on Twitter.

It then generates advice on whether you should or should not befriend this person.

This was built on Python 2 with Flask as the web framework.