Twitter Sentiment Analysis is a project aimed at analyzing the sentiment of tweets. The goal is to classify the sentiment of tweets into positive, negative, or neutral categories. This project involves preprocessing the text data, tokenizing and stemming the words, and then using machine learning models to predict the sentiment.