DETECTION OF FAKE ONLINE NEWS USING MACHINE LEARNING IECHNIQUES

Nandini Narendra Wairagade; Prof Lowlesh Yadav; Prof Neehal Jiwane

doi:10.59367/a55wjn25

Authors

Nandini Narendra Wairagade Department of Computer Science and Engineering, Technology, Shri Sai, College Chandrapur, India
Prof Lowlesh Yadav Department of Computer Science and Engineering, Technology, Shri Sai, College Chandrapur, India
Prof Neehal Jiwane Department of Computer Science and Engineering, Technology, Shri Sai, College Chandrapur, India

DOI:

https://doi.org/10.59367/a55wjn25

Keywords:

Fake online reviews, semi supervised learning, supervised learning

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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