Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm

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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Bibliographic Details
Main Authors: Hadeer Adel, Abdelghani Dahou, Alhassan Mabrouk, Mohamed Abd Elaziz, Mohammed Kayed, Ibrahim Mahmoud El-Henawy, Samah Alshathri, Abdelmgeid Amin Ali
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
event detection
deep learning
hunger game search
DistilBERT
feature selection optimization algorithms
Online Access:https://www.mdpi.com/2227-7390/10/3/447

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