This notebook explores the power of sentiment analysis that classifies 50,000 IMDB movies into positive or negative sentiments. Leveraging cutting-edge natural language processing techniques, this project provides insights into the emotional tone of each movie review, helping gauge audience reactions with surprising accuracy.
Comprehensive Dataset: I analyze a diverse range of 50,000 IMDB movie reviews, providing a comprehensive overview of audience sentiments. But first, I dive deeper into exploring and representing the data visually and with key metrics. After that, I perform a sentiment analysis and compare several algorithms against a fine-tuned logistic regression.
Follow along as we explore the emotional landscape of movie reviews and uncover insights of entertainment analysis.