A sentiment analysis model developed using Random Forest, XGBoost, and Decision Tree classifiers to predict positive or negative sentiment from Amazon Alexa reviews showing a high accuracy of up to 94.18%.
Implemented preprocessing techniques, feature engineering, and grid search optimization to enhance model performance and interpretability