Movie Review

Movie review analysis is a burgeoning field leveraging machine learning to understand various aspects of films, from plot summarization and sentiment analysis to emotion detection and the identification of biases. Current research focuses on developing and applying large language models (LLMs) and multimodal models, often incorporating techniques like contrastive learning and graph neural networks, to analyze textual and visual data from movies and their associated metadata. This work has implications for improving movie recommendation systems, enhancing accessibility through features like automatic subtitling and audio description, and furthering our understanding of cinematic storytelling techniques and societal biases reflected in film.