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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP09076

Fake Product Review Monitoring and Analysis using Opinion Mining

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IJSREMWP09076

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Authors

BR

B.Saikoti Reddy

B

B.Mahith

CS

CH.Venkata Sivasai

M

Mrs.Maheswari.A

D

Dr.P.Dhivya

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Abstract

Product reviews play a vital role in determining the sales of products on online shopping websites such as Flipkart, Amazon, and Snapdeal. This paper proposes a framework to detect spam or fake reviews using Opinion Mining, or Sentiment Analysis. Here, we examine customer views in text form. First, we determine if a review is for a particular product using a Decision Tree method. In order to identify spam, we use a Spam dictionary to identify words related to spam in the reviews. There are different algorithms used in Text Mining, and thus we are driven to certain conclusions based on these calculations.

KEYWORDS

text mining decision trees opinion mining and spam review identification.

Cite This Article

B.Saikoti Reddy, B.Mahith, CH.Venkata Sivasai, Mrs.Maheswari.A, Dr.P.Dhivya, "Fake Product Review Monitoring and Analysis using Opinion Mining," International Journal of Scientific Research in Engineering and Management, Apr 2025.

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Publication Date

4/19/2025

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