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Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm

Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8b839f31a86348caa820ba9dede9bc91

Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm

About this item

Full title

Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2022-02, Vol.10 (3), p.447

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This paper presents an alternative event detection model based on the integration between the DistilBERT and a new meta-heuristic technique named the Hunger Games Search (HGS). The DistilBERT aims to extract features from the text dataset, while a binary version of HGS is developed as a feature selection (FS) approach, which aims to remove the irre...

Alternative Titles

Full title

Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_8b839f31a86348caa820ba9dede9bc91

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8b839f31a86348caa820ba9dede9bc91

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math10030447

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