Twitter EDA and Analysis

📌 Overview

This project is a Twitter data analysis application built using Python and Streamlit. It fetches live tweets and performs sentiment analysis, keyword extraction, and topic modeling using NLP techniques.

🚀 Features

• Fetch live tweets using Twitter API
• Sentiment analysis (Positive, Negative, Neutral)
• Keyword extraction
• Word cloud generation
• Hashtag analysis
• Time-based tweet trends
• Language distribution
• LDA topic modeling

🛠️ Tech Stack

• Python
• Streamlit
• Tweepy (Twitter API)
• TextBlob (Sentiment Analysis)
• NLTK
• Gensim (LDA)
• Matplotlib & Plotly

▶️ How to Run

1. Clone the repository
2. Navigate to project folder
3. Install dependencies
4. Run the application (streamlit run main.py)