Detection of Fake Reviews through Opinion Mining: A Survey

Authors

  • Ashwini M C Dept. Of CSE, PESCE, Mandya, India
  • Padma M C Dept. Of CSE, PESCE, Mandya, India

DOI:

https://doi.org/10.26438/ijcse/v8i3.119125

Keywords:

Sentiment Analysis;, opinion Mining, Fake reviews, Machine learning;, Recommendation Systems

Abstract

Opinion mining has played a momentous role in providing product recommendation to users. Efficient recommendation system helps in improving customer satisfaction and also enhances business. The credibility of purchasing a product highly depends on the online reviews. Since not all online reviews are truthful and trustworthy, it is important to develop techniques for detecting review spam, it is possible to conduct review spam detection using various machine learning techniques. We survey the prominent machine learning techniques that have been proposed to solve the problem of review spam detection. This literature survey is done to study the various fake review detection techniques in detail.

References

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Published

2020-03-30
CITATION
DOI: 10.26438/ijcse/v8i3.119125
Published: 2020-03-30

How to Cite

[1]
M. C. Ashwini and M. C. Padma, “Detection of Fake Reviews through Opinion Mining: A Survey”, Int. J. Comp. Sci. Eng., vol. 8, no. 3, pp. 119–125, Mar. 2020.

Issue

Vol. 8 No. 3 (2020): IJCSE March Edition

Section

Survey Article

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