✈ Airline Tweet Sentiment Analyzer

This Streamlit web application analyzes the sentiment of tweets directed at airlines. It uses a Naive Bayes classifier trained on the Tweets.csv dataset to predict whether a tweet is *Positive, **Neutral, or *Negative.

🚀 Features

• 🔍 Predict sentiment of airline-related tweets (positive, neutral, negative)
• 📊 Shows model performance on test data
• 🧹 Automatic text preprocessing (cleaning, lemmatization, stopword removal)
• 🧠 Naive Bayes model trained on real Twitter data
• 🖼 User-friendly Streamlit interface

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📁 Dataset

The model uses the Tweets.csv dataset from Kaggle:

• 14,640 tweets about major U.S. airlines.
• Labeled as positive, neutral, or negative.
• Pre-filtered to include only samples with sentiment confidence ≥ 0.5.