INTRODUCTING BOT SECURE, TWITTER BASED BOT DETECTION SOLUTION POWERED BY MACHINE LEARNING

All the social networking sites which allow the users to express their opinion on various topics like politics, sports, stock market, entertainment etc. It is one of the fastest means of conveying information. It highly influences people’s perspective. So it is necessary that tweets are sent by genuine users and not by bots. A bot sends spam messages. Therefore detecting of bots helps to identify spam messages. This paper proposes an approach to detect the twitter bots using machine learning algorithms. We compare Decision tree, Multinomial Naïve Bayes, Random Forest and Bag of Words.