Airline Twitter Sentiment Analysis

NLP-based sentiment analysis of airline-related tweets (positive, negative, neutral).

Features

• Preprocessing (tokenization, stopword removal, stemming)
• ML models: Neural Network, LSTM, GRU
• Model evaluation with accuracy and confusion matrix

Tech Stack

• Python (Pandas, NumPy, Scikit-Learn, Tensorflow, Keras)
• Jupyter Notebook for analysis