UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
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:
JETIR1905B42


Registration ID:
208887

Page Number

290-295

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Title

SPAM REVIEW DETECTION: USING USER AND FEATURE REVIEWS

Abstract

web portals play an important function in information growth which is considered as a significant fountainhead for manufacturers in publicity/promotion campaigns also for buyers in choosing services and products. Written reviews/Ratings are considered by companies as a product feedback. The reviews are of two types: 1)text review 2)rating. Actuality that anybody using any identity can give comments as review, which offers a golden window of opportunity for spammers to write fake reviews designed to mislead user's opinion. Reviews given for online stores are significant resource to assist buyers/customers can make smart choice for their purchase. Hence due to this reason, spammer acts the review system these spammers are usually invited or hired or enticed by businesses/companies to write fake/fraud reviews to promote or fame their services and products, and/or to divert customer’s attention from their other companies or competitors.

Key Words

Spam Reviews, Internet, Spammer, Social Media Text Review, Fake Review, Ratings, meapath identification/creation

Cite This Article

"SPAM REVIEW DETECTION: USING USER AND FEATURE REVIEWS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.290-295, May-2019, Available :http://www.jetir.org/papers/JETIR1905B42.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

"SPAM REVIEW DETECTION: USING USER AND FEATURE REVIEWS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp290-295, May-2019, Available at : http://www.jetir.org/papers/JETIR1905B42.pdf

Publication Details

Published Paper ID: JETIR1905B42
Registration ID: 208887
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 290-295
Country: kolhapur, maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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