A sentiment analysis web app of 'Star Wars: The Force Awakens' tweets,
using a finite automaton to determine if a tweet has positive or
negative sentiment
Python 3.5.1 required
##Usage
###Web Interface
Head on over to http://sentiment-wars.herokuapp.com
Look for a tweet that sparks your interest, and click "Analyze"
###Command Line Interface
Download or clone this project. Navigate to the src/ directory
and run the following command:
python main.py
You will be prompted with directions on how to analyze previously-queried
tweets regarding 'Star Wars: The Force Awakens' or enter your own input.
##To Do
- learn Twitter Search API
- write sentiment automaton
- query and analyze relevant tweets
- format web app (templates and Bootstrap)
##Future Work
- add user input functionality on site
- add dynamic pages to analyze new tweets
##Sources
https://dev.twitter.com/rest/public/search
http://marcobonzanini.com/2015/03/02/mining-twitter-data-with-python-part-1/
http://docs.tweepy.org/en/latest/index.html
https://en.wikipedia.org/wiki/Sentiment_analysis
http://www.dototot.com/write-twitter-bot-python-tweepy-unfollow-non-followers-command-line/