Sentiment Analysis of a Product based on User Reviews

DOI

No DOI

Published In

Volume 3, Issue 2 (2022)

Published Online

March-April 2022

Pages

181-184

Article Type

Research Article

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Abstract: Sentiment analysis is one of the fastest spreading research areas in computer science, making it challenging to keep track of all the activities in the area. We present a customer feedback reviews on product, where we utilize opinion mining, text mining and sentiments, which has affected the surrounded world by changing their opinion on a specific product. We performed a comparative sentiment analysis of retrieved reviews. Sentiment Analysis is a process of analyzing and categorizing the emotion or sentiment over any given review or text piece in order to know what the reviewer wants to express in the form of positive, negative or neutral. Today, people are highly interested in buying things online from any e-commerce site or they search for a product review in order to know the quality and one’s perception toward that product before buying. The product provider also gets to know about the user’s opinion over a product. This can help the company to improve its marketing strategy and quality of product in their favor. Sentiment analysis uses various semantic approaches like on these online reviews to extract as much features it can and categorize the type of opinion. Some techniques also help in rating the product value based on user’s opinion.