UGC Approved Journal no 63975(19)

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

Volume 8 Issue 8
August-2021
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:
JETIR2108540


Registration ID:
314483

Page Number

e436-e439

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Title

IDENTIFICATION OF SPAM POSITIVE NEGATIVE FILTERS IN ONLINE SOCIAL MEDIA NETWORKS

Abstract

Most existing systems for spam discovery on Twitter plan to distinguish and square clients who post spam tweets. In this paper, we propose a semi-directed spam discovery (S3D) structure for spam identification at tweet-level. The proposed structure comprises of two primary modules: spam recognition module working progressively mode and model refresh module working in cluster mode. The spam discovery module comprises of four lightweight indicators: 1) boycotted space finder to mark tweets containing boycotted URLs; 2) close copy locator to name tweets that are close copies of unquestionably pre named tweets; 3) solid ham identifier to name tweets that are posted by believed clients and that don't contain nasty words; and 4) multi-classifier based finder names the rest of the tweets. The data required by the identification module is refreshed in group mode dependent on the tweets that are marked in the past time window. Analyses on a huge scale informational collection demonstrate that the structure adaptively learns examples of new spam exercises and keep up great exactness for spam recognition in a tweet stream.

Key Words

IDENTIFICATION OF SPAM POSITIVE NEGATIVE FILTERS IN ONLINE SOCIAL MEDIA NETWORKS

Cite This Article

"IDENTIFICATION OF SPAM POSITIVE NEGATIVE FILTERS IN ONLINE SOCIAL MEDIA NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.e436-e439, August-2021, Available :http://www.jetir.org/papers/JETIR2108540.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

"IDENTIFICATION OF SPAM POSITIVE NEGATIVE FILTERS IN ONLINE SOCIAL MEDIA NETWORKS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppe436-e439, August-2021, Available at : http://www.jetir.org/papers/JETIR2108540.pdf

Publication Details

Published Paper ID: JETIR2108540
Registration ID: 314483
Published In: Volume 8 | Issue 8 | Year August-2021
DOI (Digital Object Identifier):
Page No: e436-e439
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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