• Authorized Twitter API client. • Made a GET request to Twitter API to fetch tweets for a particular query. • Parsed the tweets. Classified each tweet as positive, negative or neutral. • Used sentiment.polarity method of TextBlob class to get the polarity of tweet between -1 to 1. • Resulted with Positive Tweets: 25.31% and Negative Tweets: 13.92%.