Monitoring Fake Product Reviews Using Opinion Mining

  • P. Nikhila, Dr. K. Uday Kumar Reddy, Dr. M. Rudra Kumar

Abstract

Product reviews  are crucial in determining whether or not to sell particular items on e-commerce sites or apps such as Flipkart, eBay, Amazon, Meeshow, Snapdeal, and others. We provide context in this document for using smart analytics to detect fraudulent or counterfeit reviews. Sentiment analysis is another term for it. We strive to gather client input via text while assessing sentiment. We first conduct a review and use a decision tree to check if the review is product-specific. Practicing a trash dictionary. to detect spam in comments. In text mining, we use many different algorithms and get specific results based on these algorithms.

Published
2021-09-18
How to Cite
P. Nikhila, Dr. K. Uday Kumar Reddy, Dr. M. Rudra Kumar. (2021). Monitoring Fake Product Reviews Using Opinion Mining. Design Engineering, 12732 - 12739. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/4493
Section
Articles