A REAL AND ACCURATE FAKE PRODUCT DETECTION SYSTEM AND GENERATE ORIGINAL REVIEWS USING DATA MINING MECHANISM
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 4, Pages 952-959
AbstractMost of the people requires genuine information about the online product. Before spending their economy on particular product can analyze the various reviews in the website. In this scenario, they did not identify whether it may be fake or genuine. In general, some reports in the websites are good, company technical people itself add these for making the product famous. These people belong to media and social organization teams, they give reviews with a good rating by their own firm. Online purchasers did not identify the fake product because of this falsification in the reviews of the website. In this research,the SVM classification mechanism has been used for detect the fake reviews by using IP address. This implementation helpful for users find out the correct review of online product. In this accuracy is improved by 98.79%, F1 score increases by 10%.
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