Twitter Sentiment Analysis Project

Description

This project analyzes tweets using libraries like python-twitter, tweepy, nltk, and scikit-learn. It includes sentiment analysis and clustering using KMeans, as well as visualizations. The dataset used comes from Kaggle.

Features

• Connects to Twitter API using python-twitter or tweepy.
• Performs text preprocessing and sentiment analysis using nltk.
• Clusters tweets using KMeans from scikit-learn.
• Visualizes results for insights into Twitter data.

Getting Started

Prerequisites

• Python 3.8 or later.
• Install the required dependencies listed in requirements.txt:

  pip install -r requirements.txt