Sentiment analysis of Amazon product reviews using machine learning algorithms. This project uses a labeled dataset of Amazon product reviews to train and evaluate the performance of several machine learning algorithms, namely Random Forest, Decision Tree, K-Nearest Neighbor, Naive-Bayes, and Extreme Gradient Boosting. The best algorithm (XGB) achieved an F1-Score of 84.8006%. Complete results are in the table below.
