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Aggression Detection in Social Media from Textual Data Using Deep Learning Models

Aggression Detection in Social Media from Textual Data Using Deep Learning Models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4c85a97bd63f4939a2f58b292fa3e72f

Aggression Detection in Social Media from Textual Data Using Deep Learning Models

About this item

Full title

Aggression Detection in Social Media from Textual Data Using Deep Learning Models

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2022-05, Vol.12 (10), p.5083

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

It is an undeniable fact that people excessively rely on social media for effective communication. However, there is no appropriate barrier as to who becomes a part of the communication. Therefore, unknown people ruin the fundamental purpose of effective communication with irrelevant—and sometimes aggressive—messages. As its popularity increases, i...

Alternative Titles

Full title

Aggression Detection in Social Media from Textual Data Using Deep Learning Models

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4c85a97bd63f4939a2f58b292fa3e72f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4c85a97bd63f4939a2f58b292fa3e72f

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app12105083

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