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)
Online product selling is growing very rapidly. After purchasing the online products, consumer gives their reviews about that products. Sometimes that review may be authentic or deceptive. The artificial intelligence-based technique is capable to find the various predictions in the different application. Many researcher works on this domain earlier but most of them took nominal number of reviews and that too was hotel reviews, trip advisor for their proposed work. This research has large number of reviews for experimental purpose. As we all know that model produce more accurate results if we train with huge amount of data. This paper presents the machine learning techniques for fake review detection of online products using text classification. The various machine learning algorithms were implemented and the obtained results compared using accuracy, f1-score, classification error etc.
Keywords:
: Machine Learning, Detection, Fake Reviews, Model Accuracy, Error rate
Cite Article:
"Detection Of Online Counterfeit Reviews Based On Text Classification Using Machine Learning ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 11, page no.b533-b544, November-2022, Available :http://www.ijnrd.org/papers/IJNRD2211161.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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