The growth of various social networking sites has enabled people to express their opinions, thoughts, and feelings. Social networking platforms such as Twitter, Facebook, etc. are filled with opinions and thoughts. The enormous data gathered using these platforms can help to analyze the sentiment of people. Sentiment analysis is the method to interpret and classify emotions into categories viz positive, and negative.. Data mining is harnessed to uncover relevant information from web pages. The main emphasis of this research is to classify which machine learning algorithm gives better accuracy. Python language is used to implement the proposed system. Machine learning classifiers such as Naïve Bayes, SVM, and Decision Tree are applied to categorize the tweets as positive or negative.