PERBANDINGAN LOGISTIC REGRESSION DENGAN RANDOM FOREST DALAM MEMPREDIKSI SENTIMEN PADA IMDB MOVIEW REVIEW

Abstract

This study aims to compare the performance of Logistic Regression and Random Forest models in predicting sentiment on IMDb Movie Review. Using a dataset consisting of movie reviews, both models are trained and evaluated using commonly used performance evaluation metrics. The research findings indicate that Logistic Regression outperforms Random Forest in predicting sentiment in IMDb reviews. These findings provide valuable insights for practitioners and researchers in selecting the most suitable model for sentiment analysis tasks on movie review data.