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Enhanced Seagull Optimization with Natural Language Processing Based Hate Speech Detection and Class...

Enhanced Seagull Optimization with Natural Language Processing Based Hate Speech Detection and Class...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2c7da3f911494396a995086d3d79a5af

Enhanced Seagull Optimization with Natural Language Processing Based Hate Speech Detection and Classification

About this item

Full title

Enhanced Seagull Optimization with Natural Language Processing Based Hate Speech Detection and Classification

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2022-08, Vol.12 (16), p.8000

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Hate speech has become a hot research topic in the area of natural language processing (NLP) due to the tremendous increase in the usage of social media platforms like Instagram, Twitter, Facebook, etc. The facelessness and flexibility provided through the Internet have made it easier for people to interact aggressively. Furthermore, the massive qu...

Alternative Titles

Full title

Enhanced Seagull Optimization with Natural Language Processing Based Hate Speech Detection and Classification

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_2c7da3f911494396a995086d3d79a5af

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2c7da3f911494396a995086d3d79a5af

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app12168000

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