Twitter Sentiment Analysis Challenge for Learn Python for Data Science #2 by @Sirajology on Youtube
##Overview
This is the code for the Twitter Sentiment Analyzer challenge for 'Learn Python for Data Science #2' by @Sirajology on YouTube. The code uses the tweepy library to access the Twitter API and the TextBlob library to perform Sentiment Analysis on each Tweet. We'll be able to see how positive or negative each tweet is about whatever topic we choose.
##Changes
For this project I added the option save each Tweet to a CSV file with an associated label. The label should be either 'Positive' or 'Negative'. Also generates a circular graph with the label and the percentage of each label.
##Dependencies
- tweepy (http://www.tweepy.org/)
- textblob (https://textblob.readthedocs.io/en/dev/)
Install missing dependencies using pip