UGC Approved Journal no 63975(19)

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

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDZ06039


Registration ID:
233476

Page Number

289-296

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Title

A SURVEY BASED ON REVIEW SPAM DETECTION AND ITS TECHNIQUES

Abstract

ABSTRACT Reviews that are displayed online is a key position in customers choice to buy an item or facilities. They are vital and worthy source of information that can be used to evaluate public suggestions / points of view regarding items or services. Due to its influence, producers and distributors are deeply worried with its inputs or reviews / opinions from customers. Such opinions are based solely on either consumer or reviewer's feelings or perceptions, thereby giving rise to potential concerns that wrongdoer may generate bogus reviews to unfairly support or bring down the reputation of an item or services. As false reviews become more common on the web and can be an issue to it. These fake reviews are called as spams. A method for distinguishing between truthful and untruthful reviews is therefore necessary. This article deals with highly machine learning techniques that are put forward to address problems of spams and evaluate the performance of various approaches used for classifying reviews and analyzing their detections. The key objective of this article is to offer a detailed modified study of present research to detect review spam and also to suggest methodologies for future inspection.

Key Words

Keywords: Review Spam Detection, Opinion Mining, Big Data, Machine learning.

Cite This Article

"A SURVEY BASED ON REVIEW SPAM DETECTION AND ITS TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.289-296, December 2018, Available :http://www.jetir.org/papers/JETIRDZ06039.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

"A SURVEY BASED ON REVIEW SPAM DETECTION AND ITS TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp289-296, December 2018, Available at : http://www.jetir.org/papers/JETIRDZ06039.pdf

Publication Details

Published Paper ID: JETIRDZ06039
Registration ID: 233476
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 289-296
Country: -, -, - .
Area: Other
ISSN Number: 2349-5162
Publisher: IJ Publication


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