Twitter Sentiment Analysis

Project made as part of Harvard CS50X course

Its a sentiment analysis project. It fetches tweets using Twitter API. Then, parses and evaluate each tweet against list of positive, negative words. Outputs the chart showing percentages of each sentiments.

Technologies used:

• HTML5
• CSS3
• Python
• Twython library to acces Twitter API and parse tweets
• NTLK(Natural Language Toolkit) library to analyze the tweets
• Flask as backend