Fake Product Review Detection Using Machine Learning

Online product reviews play a crucial role in the purchasing pattern of customers. Fake reviews may, mislead consumers. A large number of fake reviews will even cause huge property losses and public opinion crises. Therefore, it is necessary to detect and filter fake reviews. To solve this problem, a novel technique to detect fake reviews has been proposed. Credibility of online reviews is crucial for business and can directly affect companies' reputation and profitability. The proposed technique deals with the usage of URL’s and IP addresses for identifying fake reviews. The designed algorithm is expected to achieve high accuracy levels.