UGC Approved Journal no 63975(19)

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

Volume 10 Issue 6
June-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFZ06001


Registration ID:
519000

Page Number

1-6

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Title

IDENTIFICATON OF OFFENSIVE MEME CONTENT USING CNN

Abstract

People can express themselves more easily through the creation or exchange of information, ideas, or other types of content on social media, an interactive platform for communication. A image can best describe a meme. Memes make it even harder because they imply humour and sarcasm, so if we only look at the image, the meme might not seem offensive. Memes can be used to make personal attacks, homophobic, racist, or minority attacks, among other things. Memes should be the main emphasis as the use of these media platforms grows, and automatic multimodal content detection should be necessary. However, a (CNN) deep learning strategy can help to partly solve this issue.

Key Words

People can express themselves more easily through the creation or exchange of information, ideas, or other types of content on social media, an interactive platform for communication. A image can best describe a meme. Memes make it even harder because they imply humour and sarcasm, so if we only look at the image, the meme might not seem offensive. Memes can be used to make personal attacks, homophobic, racist, or minority attacks, among other things. Memes should be the main emphasis as the use of these media platforms grows, and automatic multimodal content detection should be necessary. However, a (CNN) deep learning strategy can help to partly solve this issue.

Cite This Article

"IDENTIFICATON OF OFFENSIVE MEME CONTENT USING CNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.1-6, June-2023, Available :http://www.jetir.org/papers/JETIRFZ06001.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

"IDENTIFICATON OF OFFENSIVE MEME CONTENT USING CNN ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. pp1-6, June-2023, Available at : http://www.jetir.org/papers/JETIRFZ06001.pdf

Publication Details

Published Paper ID: JETIRFZ06001
Registration ID: 519000
Published In: Volume 10 | Issue 6 | Year June-2023
DOI (Digital Object Identifier):
Page No: 1-6
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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