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Classifier for Twitter Tweets
The goal of this work is to develop a classifier that can classify tweets on Twitter. These days, Internet users use microblogging as a communication tool. They have similar views on various facets of life. We are getting closer to the Information Explosion age as microblogging sites gain prominence. With over 400 million tweets posted every day—that's an incredible 5,700 tweets per second—Twitter is the second most popular microblogging platform. Although Twitter is widely used, there isn't a precise classifier for the tweets posted on the platform. Using a learning algorithm to create a classifier that classifies the tweets after being trained on the Twitter corpus, this study aims to separate tweets and categorize them into groups such as sports and entertainment. The user can skip the tiresome process of browsing the newsfeed and just scan the tweets with this type of classifier.
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