UGC Approved Journal no 63975(19)

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

Volume 7 Issue 2
February-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2002315


Registration ID:
228187

Page Number

711-714

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Title

Netspam: Detection of Spam for Reviews in Online

Abstract

Today’s world people rely on available content in online social media, The probability that anybody can leave a review which provides a golden opportunity for spammers to write spam reviews on products and services. Identifying these spams and spammers has become a hot topic of research, but even though they have put forth so many methodologies, which will barely detect the spam reviews, but so forth none of these methodologies have shown the importance of these extracted features. In this work, a study proposes a framework, named Netspam, which is a novel based. The work utilizes spam features in order to model review datasets as a heterogeneous information network to map spam detection procedure into a classification problem. Using the importance of spam features help us to obtain better results in terms of different metrics experimented on real-world review dataset from Yelp and Amazon.

Key Words

Netspam, Heterogeneous Information Network, Training data, Data mining, behavioral patterns, Metapaths, call detection records(CDR), Maximum Mean Discrepancy(MMD)

Cite This Article

"Netspam: Detection of Spam for Reviews in Online", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.711-714, February-2020, Available :http://www.jetir.org/papers/JETIR2002315.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

"Netspam: Detection of Spam for Reviews in Online", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp711-714, February-2020, Available at : http://www.jetir.org/papers/JETIR2002315.pdf

Publication Details

Published Paper ID: JETIR2002315
Registration ID: 228187
Published In: Volume 7 | Issue 2 | Year February-2020
DOI (Digital Object Identifier):
Page No: 711-714
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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