A System for Analyzing Movie Review Sentiments with BERT and RoBERTa

Author(s)	Prof. Joshi A, Ms. Ajitha K, Ms. Boomika D, Ms. Jananipriya S
Country	India
Abstract	With the rapid growth of online movie review platforms such as IMDb and Rotten Tomatoes, vast amounts of user-generated content are available that reflect audience opinions. Analyzing these reviews helps filmmakers, critics, and viewers understand public sentiment toward various cinematic elements. Recent advances in Natural Language Processing (NLP), particularly transformer-based models like BERT and RoBERTa, have significantly improved sentiment analysis and aspect-based sentiment analysis (ABSA). These models enable more accurate extraction of opinions related to key aspects such as acting, story, direction, music, and visuals, outperforming traditional machine learning approaches.
Keywords	Sentiment Analysis, Movie Reviews, Natural Language Processing (NLP), BERT, RoBERTa, Aspect-Based Sentiment Analysis(ABSA), Transformer Models, Deep Learning.
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-28
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.64897

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