Volume 2 - Issue 2, March - April 2026

Sentiment Analysis is now a key part of e-commerce because there is so much user generated content, such as reviews, ratings, and social media posts. Businesses rely on it to understand customer opinions, identify market trends, and make informed decisions. Despite its importance, challenges remain— such as detecting sarcasm, handling multilingual content, and filtering fake reviews. The hypothesis is that advanced AI methods can significantly enhance the ability to extract meaningful insights from large volumes of customer data.Over the past few years, increasing amounts of user-generated content through places like review websites, blogs and other types of social media have resulted in the increased importance of sentiment analysis in E-commerce. The purpose of this paper is to analyze the findings of the most recent research (2018-2025) related to advanced techniques for conducting sentiment analysis to determine how improved accuracy and increased ability to make better choices will be possible by using these techniques and provided with the challenges of performing sentiment analysis on sarcasm and multilingual datasets as well as noisy user-generated content.

Alfiya Shaikh, Maheema Pal, Sriniwas Narayanan Vengarai,"Sentiment Analysis on E-Commerce" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(1333-1337) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.