UGC Approved Journal no 63975(19)

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

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2005200


Registration ID:
231781

Page Number

426-431

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Title

Abusive language Detection using Machine Learning

Abstract

Social network sites involve billions of users around the world wide. User interactions with these social sites, like twitter have a tremendous and occasionally undesirable impact implications for daily life. The major social networking sites have become a target platform for users to disperse a large amount of irrelevant and unwanted information. Twitter, it has become one of the most extravagant platforms of all time and, most popular microblogging services which is generally used to share unreasonable amount of opinions. In this paper, proposed automate the task of public abusive detection in Twitter. It is observed that out of all the participating users who post comments in a particular event, majority of them are likely to humiliate the victim. Interestingly, it is also the abusive whose follower counts increase faster than that of the honored in Twitter. Finally, based on categorization and classification of abusive tweets.

Key Words

Machine learning, online user behavior, public abusive, tweet classification.

Cite This Article

"Abusive language Detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.426-431, May-2020, Available :http://www.jetir.org/papers/JETIR2005200.pdf

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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

"Abusive language Detection using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp426-431, May-2020, Available at : http://www.jetir.org/papers/JETIR2005200.pdf

Publication Details

Published Paper ID: JETIR2005200
Registration ID: 231781
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 426-431
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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