Paper Title
Detection Of Online Counterfeit Reviews Based On Text Classification Using Machine Learning
Article Identifiers
Authors
Shweta Shukla , Mr.Prabhas Kumar Gupta
Keywords
: Machine Learning, Detection, Fake Reviews, Model Accuracy, Error rate
Abstract
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.
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How To Cite (APA)
Shweta Shukla & Mr.Prabhas Kumar Gupta (November-2022). Detection Of Online Counterfeit Reviews Based On Text Classification Using Machine Learning . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(11), b533-b544. https://ijnrd.org/papers/IJNRD2211161.pdf
Issue
Volume 7 Issue 11, November-2022
Pages : b533-b544
Other Publication Details
Paper Reg. ID: IJNRD_183890
Published Paper Id: IJNRD2211161
Downloads: 000121978
Research Area: Computer Science & TechnologyÂ
Country: durg, chhattisgarh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2211161.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2211161
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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