Karpagam JCS ISSN: 2582 – 8525 (Print), 2583 – 3669 (Online)

Sentiment Analysis of Product Reviews on E-Commerce Site: A Survey

Abstract
The Internet has become the most valuable source for getting ideas and reviews for a particular product or service. Millions of reviews are generated every day about the product that we are searching for and it finds difficult in handing out such a huge review. Sentiment Analysis plays a vital role in analyzing huge reviews and finding polarity of opinion to help the customers in their decision-making. This is the process of collecting, extracting, analyzing, and classifying text based on customer opinions about a product or service from an online platform. It extracts subjective information from reviews collected using natural language processing and text mining processes. This article aims to analyze different methods used for sentiment analysis and also discussed the importance of aspect based sentiment analysis.

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