Sentiment Analysis on Product Reviews

This project successfully built a sentiment analysis pipeline to classify Flipkart product reviews. Starting with data preprocessing and handling class imbalance, we applied various models, including Logistic Regression, Random Forest, LSTM, and BERT, achieving strong classification performance. Using MLflow, we tracked and compared models to select the best one for deployment. The final model, deployed via Flask, enables real-time sentiment analysis, offering valuable insights into customer feedback for businesses.