Sentiment analysis is a process of identifying a person’s emotion/attitude towards a particular topic. In this work, we develop models to automatically classify a tweet into positive or negative. We train different classifiers using a twitter dataset and compare their performance. The classifiers compared are support vector machines and Naive Bayes over the same data set. The report describes the task, data and results.