Online audits have incredible effect on the present business furthermore, trade. Basic leadership for acquisition of on
the web items generally relies upon surveys given by the clients. Thus, shrewd people or gatherings attempt to control item
surveys for their own advantages. This paper presents a few semi-supervised and supervised content mining models to recognize
counterfeit online audits just as analyses the productivity of both procedures on dataset containing lodging surveys