Exploring Trends and Techniques in Sentiment Analysis for Online Product Ratings: A Comprehensive Review

Mary Rose Columbres
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Mary Rose Columbres: Information Technology and Data Science Department, Bulacan State University

International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 2, 312-324

Abstract: The COVID-19 epidemic has led to a notable rise in the dependence of product purchases on social media and online shopping. Before the pandemic, customers preferred to shop in person to evaluate the quality of the products personally. However, the pandemic forced people to buy things online, which forced companies to use social media and e-commerce sites to conduct business. Due to this change, client testimonials, remarks, and evaluations are now vital for customers and companies. Consumers rely on these reviews to establish confidence, while companies examine them to improve their products and competitive tactics. This systematic review, which focuses on data mining techniques and semantic analysis, attempts to identify and assess the different approaches utilized in sentiment analysis of online product evaluations. Thirty published research papers and journals were content-analyzed as part of a qualitative research strategy.

Date: 2025
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