Fake Detection of Online Reviews using Semi-Supervised and Supervised Learning

Authors

  • Aneel Narayanapur  Department of Computer Science and Engineering, SKSVMACET Laxmeshwar, Karnataka, India
  • Pavankumar Naik  Department of Computer Science and Engineering, SKSVMACET Laxmeshwar, Karnataka, India
  • Suraksha G  Department of Computer Science and Engineering, SKSVMACET Laxmeshwar, Karnataka, India
  • Pavitra S I  Department of Computer Science and Engineering, SKSVMACET Laxmeshwar, Karnataka, India
  • Shruddha Mudigoudar  Department of Computer Science and Engineering, SKSVMACET Laxmeshwar, Karnataka, India
  • Megha Honnali  Department of Computer Science and Engineering, SKSVMACET Laxmeshwar, Karnataka, India

Keywords:

Fake reviews, semi-supervised learning, super-vised learning, Naive Bayes classifier, Support Vector Machine classifier, Expectation-maximization algorithm.

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 data set containing hotel reviews.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-06-30

Issue

Volume 6, Issue 3, May-June-2020

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Aneel Narayanapur, Pavankumar Naik, Suraksha G, Pavitra S I, Shruddha Mudigoudar, Megha Honnali, " Fake Detection of Online Reviews using Semi-Supervised and Supervised Learning " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.428-431, May-June-2020.