DETECTION OF FAKE ONLINE REVIEWS USING SEMI-SUPERVISED AND SUPERVISED LEARNING

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R. Arthi, P. Varsha Saisri, T.Harika, S. Kamala Harsha

Abstract

Online reviews have great impact on today’s business and commerce. Decision making for purchase of online products mostly depends on reviews given by the users. Hence, opportunistic individuals or groups try to manipulate product reviews for their own interests. This paper introduces some semi-supervised and supervised text mining models to detect fake online reviews as well as compares the efficiency of both techniques on dataset containing hotel reviews

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How to Cite
R. Arthi, P. Varsha Saisri, T.Harika, S. Kamala Harsha. (2023). DETECTION OF FAKE ONLINE REVIEWS USING SEMI-SUPERVISED AND SUPERVISED LEARNING. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 14(2), 107–118. https://doi.org/10.17762/turcomat.v14i2.13527
Section
Research Articles