Sentiment Analysis or analyzing emotion can be the process of understanding various textual opinions. Also known as opinion mining or emotional AI. People are interested in posting comments on social media that refer to their event experience to understand if most people had a positive or negative experience with the same incident. This classification is being achieved using Sentiment Analysis. Sentiment analysis takes a few unstructured text comments, events, etc. In all comments posted by multiple users and classifies the comments into different categories as positive or negative opinions. This is also called the Polarity classification. Sentimental Analysis is performed by text analysis and linguistics. This work aims to compare the performance of various machine learning algorithms when performing sentiment analysis for Twitter data.