Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm

Hadeer Adel, Abdelghani Dahou, Alhassan Mabrouk, Mohamed Abd Elaziz, Mohammed Kayed, Ibrahim Mahmoud El-Henawy, Samah Alshathri and Abdelmgeid Amin Ali
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Hadeer Adel: Department of Computer Science, Faculty of Computer Science, Nahda University, Beni Suef 62511, Egypt
Abdelghani Dahou: Mathematics and Computer Science Department, University of Ahmed DRAIA, Adrar 01000, Algeria
Alhassan Mabrouk: Mathematics and Computer Science Department, Faculty of Science, Beni-Suef University, Beni Suef 62511, Egypt
Mohamed Abd Elaziz: Faculty of Computer Science and Engineering, Galala University, Suez 435611, Egypt
Mohammed Kayed: Computer Science Department, Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef 62511, Egypt
Ibrahim Mahmoud El-Henawy: Department of Computer Science, Faculty of Computer Science, Zagazig University, Zagazig 44519, Egypt
Samah Alshathri: Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia
Abdelmgeid Amin Ali: Faculty of Computer Science and Information, Minia University, Minia 61519, Egypt

Mathematics, 2022, vol. 10, issue 3, 1-22

Abstract: 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 irrelevant features from those extracted. To assess the developed model, a set of experiments are conducted using a set of real-world datasets. In addition, we compared the binary HGS with a set of well-known FS algorithms, as well as the state-of-the-art event detection models. The comparison results show that the proposed model is superior to other methods in terms of performance measures.

Keywords: event detection; deep learning; hunger game search; DistilBERT; feature selection optimization algorithms (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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