FAKE REVIEW DETECTION USING SUPERVISED MACHINE LEARNING

Abstract

Online evaluations have a significant influence on contemporary business and trade. The buying of internet items is mostly influenced by user reviews. Therefore, people or organizations with opportunistic tendencies attempt to alter product evaluations for their own gain. This research presents a range of semi-supervised and supervised text mining models for identifying fraudulent online reviews. It also evaluates the effectiveness of both approaches using a dataset of hotel reviews.