Airline Tweet Sentiment Analysis

This project performs sentiment analysis on airline customer tweets using NLP and a Multinomial Naive Bayes classifier.

Features

• Preprocesses tweets: cleaning, stemming, stopword removal
• Converts text to features using Bag of Words
• Classifies tweets into Positive, Neutral, or Negative sentiment
• Evaluates using accuracy, confusion matrix, and classification report

Dataset

Twitter US Airline Sentiment

How to Run

1. Clone the repo: git clone https://github.com/yourusername/sentiment-analysis cd sentiment-analysis

2. Install dependencies: pip install -r requirements.txt

3. Run the notebook or script: python sentiment_analysis.py