Aspect-based Sentimental Analysis for Movie Recommendation
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Aspect-based Sentimental Analysis for Movie Recommendation
Mrs. Gyara Monika 1, Sanjana Burra2, Vungurala Divya3, Seelam Aswanth kumar4
Assistant Professor of Department of CSE(AI&ML) of ACE Engineering College1
Students of Department of CSE(AI&ML) of ACE Engineering College2,3,4
Abstract:
Aspect-based sentiment analysis (ABSA) is an advanced methodology in natural language processing (NLP) aimed at extracting and movie-recommendation categorizing sentiments expressed in user reviews, specifically focusing on particular aspects of the subject. In the context of movie recommendations, ABSA facilitates a more nuanced understanding of audience preferences by analyzing reviews for targeted attributes like plot, acting, and cinematography. This study explores the application of ABSA in developing a movie recommendation system, leveraging its ability to extract and analyze aspect-level sentiments. We propose a model integrating state-of-the-art NLP techniques and sentiment analysis frameworks to optimize recommendation accuracy.
Keyword:
Aspect-based sentiment analysis, movie recommendation, natural language processing (NLP), sentiment analysis frameworks