Social media has become an important part of our regular life and Twitter is one of the famous among them. As the growth and uses of social media are increasing rapidly so does the twitter, the number of Twitter users has reached an estimate of 330 million monthly active users. Twitter provides a list of trending topics in real time, but it is often hard to understand what these trending topics are all about. It is important and necessary to classify these topics into various categories with high accuracy for better information retrieval. With the enormous volume of data being generated on TWITTER ^[1], it is imperative to find a computational means of filtering. To address this problem, we classify tweets into various categories such as sports, politics, technology, etc. We will use various algorithms such as Naïve Bayes classifier, Support Vector Machine classifiers to classify the tweets into various categories and check the accuracy of each algorithm.