UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 8
August-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2308586


Registration ID:
523922

Page Number

f716-f725

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Title

Block Chain Based Secure Spam Review Detection Using Machine Learning Techniques

Abstract

Online reviews of various products or have become an important source for determining public opinion. Therefore, tradesmen and supplier are anxious about testimonials, because they directly affect their business. Unfortunately, Over the past few years, the problem of spam review detection has received a lot of observation among communities and researchers, but experiments with real, bulk amounts of spam datasets are still needed. This can encourage to examine the review which is widespread in online reviews. In this work, two different spam detection methods are proposed: (1) Spam audit detection using client behaviours it uses the behavioral characteristics of thirteen different spammers to calculate a spam score, which is then used to identify spammers and spam. reviews and (2) Spam Review Detection Using a Linguistic Method (SRD-LM) operates on review content and uses transformations, feature selection, and classification to identify spam reviews. Experimental evaluations are performed using a real Amazon review dataset, analyzing 30.2 million analysis and 20 million analysis. Research show that two advanced models notably improved the process of detecting junk evaluations. In particular, behavior method achieved an accuracy of 95%, while the linguistic method achieved a spam scan detection accuracy of 80.1%. In comparison, Behavior method achieved better accuracy because it uses the rich features of spammers' behavior in the validation dataset, which provides a comprehensive analysis of spammers' behavior. To our knowledge, this is the first study of its kind that uses real-world survey data to analyze the behavioral cha

Key Words

Internet analysis, feature detection, linguistic characteristics,behavioral characteristics.

Cite This Article

"Block Chain Based Secure Spam Review Detection Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.f716-f725, August-2023, Available :http://www.jetir.org/papers/JETIR2308586.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Block Chain Based Secure Spam Review Detection Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppf716-f725, August-2023, Available at : http://www.jetir.org/papers/JETIR2308586.pdf

Publication Details

Published Paper ID: JETIR2308586
Registration ID: 523922
Published In: Volume 10 | Issue 8 | Year August-2023
DOI (Digital Object Identifier):
Page No: f716-f725
Country: NEYVELI, TAMILNADU, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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