Review Spamicity Approach by Resemblance Measure

  • Unique Paper ID: 154465
  • Volume: 8
  • Issue: 11
  • PageNo: 465-469
  • Abstract:
  • The ubiquity of web2.0 makes the web an invaluable source of information. For instance, product reviews composed collaboratively by many independent internet reviewers can help consumers make purchase decisions and enable enterprises to improve their business. In this work, an attempt is made to compare and detect whether a review is spam or non-spam review from different websites, in order to have a mechanism for proper decision making or for marketing intelligence.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{154465,
        author = {Rajshree},
        title = {Review Spamicity Approach by Resemblance Measure },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {11},
        pages = {465-469},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154465},
        abstract = {The ubiquity of web2.0 makes the web an invaluable source of information. For instance, product reviews composed collaboratively by many independent internet reviewers can help consumers make purchase decisions and enable enterprises to improve their business. In this work, an attempt is made to compare and detect whether a review is spam or non-spam review from different websites, in order to have a mechanism for proper decision making or for marketing intelligence.},
        keywords = {Reviews, Feature extraction, Opinion mining, Spam.},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 11
  • PageNo: 465-469

Review Spamicity Approach by Resemblance Measure

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