INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The significance of reviews on any e-commerce website cannot be overstated, as they often serve as the basis for a potential buyer's purchasing decision. Reviews enable buyers to assess the authenticity and quality of a product based on the feedback provided by other customers. However, some sellers take advantage of reviews by publishing reviews that either promote or discredit a product. These reviews, which do not represent the genuine opinion of an individual, are referred to as fake reviews. The existence of such fake reviews can lead to inaccurate judgments by buyers, which can also damage the platform's credibility. As a result, detecting fake reviews is critical. This paper proposes a method for identifying fake reviews on the platform using a logistic regression model that considers review-specific characteristics and achieves an overall accuracy of 82%. Additionally, our research demonstrates the importance of the "verified purchase" feature in identifying fake reviews.
Keywords:
Fake reviews, k-nearest neighbor (KNN), Machine learning, Natural language processing, Sentiment analysis, Support vector machine (SVM)
Cite Article:
"The Fake Review Effect On E-commerce :SKL-Based Fake Review Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 3, page no.d436-d440, March-2023, Available :http://www.ijnrd.org/papers/IJNRD2303357.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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