JacobJ215/Airline-Sentiment-Analysis

This sentiment analysis project aims to classify US airline tweets as positive or negative. It explores both classical ML and deep learning approaches. The LSTM outperforms XGBoost with an AUC score of 0.9462, despite a slightly lower accuracy. The AUC metric highlights LSTM's efficacy in handling imbalanced datasets.

Jupyter Notebook