Engineering & Technology
Received: 16 Mar 2019 , Published: 25 March 2019
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ABSTRACT -- Nowadays, social media has become an important and popular communication medium to express and share thoughts, ideas, and opinion about the various activities and topic shared by millions of user. Twitter is one of the most popular microblogging websites where people share their millions of ideas, thoughts, and opinion. The data in Twitter can be applied for sentiment analysis. Sentiment analysis processes to determine whether in writer's tweets on particular topic is positive, negative, neutral using textblob. The main work is to search for tweets that match to given keyword and evaluate the polarity of the tweets as positive, negative or neutral in matplotlib representation.
Keywords: Twitter, Sentiment analysis, python, textblob, NLP.
 Bhumika Gupta,Monika Negi,Kanika
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