Tweet-Sentiment-Analysis

This project performs sentiment analysis on tweet data to classify sentiments as positive or negative using a Logistic Regression model. This repository contains code for performing sentiment analysis on tweet data using a Logistic Regression model. It demonstrates the process of preprocessing tweets, including stemming and vectorization, to prepare the data for analysis. The goal is to classify tweets into positive or negative sentiments and assess the performance of the Logistic Regression model.