Detection of Fake Online Reviews by using Machine Learning

Reviews, ratings, and personal stories written by the customers on online sites and also other services are helpful for both buyers and sellers. By writing reviews, the user may increase brand loyalty and help other buyers better understand about their product. If customers offer favourable feedback on reviews of their items, vendors can increase the sale of their products and build additional profiles. Unfortunately, suppliers may abuse these review processes. One may fabricate good reviews to boost a brand reputation or attempt to denigrate rival brand's items by posting fraud reviews of negative evaluations. Based on the textual information in the reviews, sentiment classification has been incorporated. Reviews that are fake are identified and classified, classification models produce the results by applying the machine learning algorithms. Hence, supervised learning model is used for labelling the reviews to identify the review as fake-review or genuine review.