Abstract :

IMDb Sentiment Review Analysis using Machine Learning focuses on automatically classifying movie reviews as positive or negative. With the rapid growth of online review platforms, analyzing user opinions manually has become impractical. This system uses natural language processing techniques to extract meaningful patterns from textual data. Machine learning algorithms are trained to learn sentiment polarity from labeled reviews. Preprocessing steps such as tokenization, stop-word removal, and vectorization improve accuracy. The proposed approach enhances decision-making for users and producers. Experimental results demonstrate effective sentiment classification performance.