Twitter Sentiment Analysis

This project performs sentiment analysis on Twitter data to classify tweets as Positive, Negative, or Neutral.

Features

• Fetches live tweets using the Twitter API (Tweepy)
• Preprocesses text (remove hashtags, mentions, URLs)
• Uses NLP techniques and models like Logistic Regression or BERT
• Visualizes sentiment distribution with matplotlib/seaborn

Tools & Libraries

• Python
• Pandas, Numpy
• NLTK / TextBlob
• Matplotlib / Seaborn
• Scikit-learn

How to Run

1. Clone this repo

   git clone https://github.com/vaidehichavan10/twitter_sentiment_analysis.git

twitter_sentiment_analysis