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Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification

Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4b72186150f4f1fae1a0f818e283923

Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification

About this item

Full title

Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification

Publisher

Hoboken: Hindawi

Journal title

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

Language

English

Formats

Publication information

Publisher

Hoboken: Hindawi

More information

Scope and Contents

Contents

Millions of memes are created and shared every day on social media platforms. Memes are a great tool to spread humour. However, some people use it to target an individual or a group generating offensive content in a polite and sarcastic way. Lack of moderation of such memes spreads hatred and can lead to depression like psychological conditions. Ma...

Alternative Titles

Full title

Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e4b72186150f4f1fae1a0f818e283923

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4b72186150f4f1fae1a0f818e283923

Other Identifiers

ISSN

1076-2787

E-ISSN

1099-0526

DOI

10.1155/2021/5510253

How to access this item