Authors: Hari Om, Steven David
Abstract: Social media and review platforms have become key spaces for individuals to voice opinions, shaping trends across sectors like entertainment and business. This study introduces a comprehensive sentiment analysis framework that combines lexicon-based methods, machine learning models, and privacy-conscious data collection practices. Drawing on insights from three notable research works, the proposed approach effectively categorizes movie reviews and general online comments into positive, negative, or neutral sentiments. Emphasis is placed on thorough data preprocessing, accurate classification, and ethical data management, resulting in a practical and adaptable solution for sentiment analysis in real-world applications.
DOI: http://doi.org/
