Detection Of Online Counterfeit Reviews Based On Text Classification Using Machine Learning

Detection Of Online Counterfeit Reviews Based On Text Classification Using Machine Learning

Registration ID: IJNRD_183890

Published ID: IJNRD2211161

DOI: Click Here to Get

Shweta Shukla , Mr.Prabhas Kumar Gupta

: Machine Learning, Detection, Fake Reviews, Model Accuracy, Error rate

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.

Published Paper   E-Certificate

"Detection Of Online Counterfeit Reviews Based On Text Classification Using Machine Learning ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 11, page no.b533-b544, November-2022, Available :https://ijnrd.org/papers/IJNRD2211161.pdf

Volume 7 Issue 11, November-2022

Pages : b533-b544

Paper Reg. ID: IJNRD_183890

Published Paper Id: IJNRD2211161

Downloads: 000121185

Research Area: Computer Science & Technology 

Country: durg, chhattisgarh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2211161.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2211161

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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