Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm

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 sele...

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Egile Nagusiak:	Hadeer Adel, Abdelghani Dahou, Alhassan Mabrouk, Mohamed Abd Elaziz, Mohammed Kayed, Ibrahim Mahmoud El-Henawy, Samah Alshathri, Abdelmgeid Amin Ali
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2022-01-01
Saila:	Mathematics
Gaiak:	event detection deep learning hunger game search DistilBERT feature selection optimization algorithms
Sarrera elektronikoa:	https://www.mdpi.com/2227-7390/10/3/447
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Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm

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