1Associate Professor, Department of Computer Science and Engineering, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India
2Scholar, Department of Computer Science and Engineering, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India
*Email: chandhra2k7@gmail.com
**shyamalaambatapudi@gmail.com
Online published on 22 January, 2021.
Review plays a vital role for the sales of products in today’s world. Whenever a product is being bought, people check reviews about the product. Users go through many reviews in the website, but they are unable to get whether the review is genuine or not. In some websites, reviews are added by the company itself to produce false positive product reviews for increasing the publicity. Since most of the good reviews are given by the company, the users suspect the soundness of the reviews. In this paper, fake product review monitoring and removal is done using opinion mining. In order to find out fake reviews in a website, the system will trace the fake reviews with the help of review posting patterns and by identifying IP address. The IP address is identified / recorded, and if the same IP address is repeated multiple times, the system eliminates the duplication of that review. This helps the user to find genuine review about the product.
Opinion Mining, Fake Review, Genuine Rating, Order Tracking