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Review Spam Detection Using Opinion Mining

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Progress in Intelligent Computing Techniques: Theory, Practice, and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 719))

Abstract

Nowadays with the increasing popularity of Internet, online marketing is going to become more and more popular. This is because, a lot of products and services are easily available online. Hence, reviews about all these products and services are very important for customers as well as organizations. Unfortunately, driven by the will for profit or promotion, fraudsters used to produce fake reviews. These fake reviews written by fraudsters prevent customers and organizations reaching actual conclusions about the products. These fake reviews or review spam must be detected and eliminated so as to prevent deceptive potential customers. In this paper, we have applied supervised learning technique to detect review spam. The proposed work uses different set of features along with sentiment score to build models and their performance were evaluated using different classifiers.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, National Institute of Technology, Rourkela, 769008, Odisha, India

    Rohit Narayan, Jitendra Kumar Rout & Sanjay Kumar Jena

Authors
  1. Rohit Narayan
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  2. Jitendra Kumar Rout
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  3. Sanjay Kumar Jena
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Corresponding author

Correspondence to Rohit Narayan .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India

    Pankaj Kumar Sa

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India

    Manmath Narayan Sahoo

  3. School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), Arau, Perlis, Malaysia

    M. Murugappan

  4. The University of Exeter, Exeter, Devon, United Kingdom

    Yulei Wu

  5. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India

    Banshidhar Majhi

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© 2018 Springer Nature Singapore Pte Ltd.

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Narayan, R., Rout, J.K., Jena, S.K. (2018). Review Spam Detection Using Opinion Mining. In: Sa, P., Sahoo, M., Murugappan, M., Wu, Y., Majhi, B. (eds) Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Advances in Intelligent Systems and Computing, vol 719. Springer, Singapore. https://doi.org/10.1007/978-981-10-3376-6_30

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  • DOI: https://doi.org/10.1007/978-981-10-3376-6_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3375-9

  • Online ISBN: 978-981-10-3376-6

  • eBook Packages: EngineeringEngineering (R0)

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