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

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Published Paper ID:
JETIR1905485


Registration ID:
207474

Page Number

566-569

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Title

Toxic Comment Classification Using Convolutional Neural Network

Abstract

Today's generation spends most of their time in social networking applications or websites, people share their life experiences, express their feelings and their lifestyle by posting photos, stories, Live Streaming, profile pictures etc. There is freedom for everyone to post the comments on the social network sites that may hurt people feelings and may disturb their life too which may cause huge loss. The freedom for people to comment on any topics or words without any restriction has become an issue and this is extremely been affected many lives in cases as cyberbullying, harassment. The harassment physically or direct is controlled by police and other forces but online harassment should be controlled by some models that restrict the user not to post a comment by identifying the comment toxicity level.

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"Toxic Comment Classification Using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.566-569, May-2019, Available :http://www.jetir.org/papers/JETIR1905485.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

"Toxic Comment Classification Using Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp566-569, May-2019, Available at : http://www.jetir.org/papers/JETIR1905485.pdf

Publication Details

Published Paper ID: JETIR1905485
Registration ID: 207474
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 566-569
Country: hyderabad, telangana, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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