Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
BOUZIANE, Abdelghani
Department of Computer Science, Institute of Science, University of Naama, Algeria
Computer Science & IT Electrical & Electronics Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Deep Learning for Arabic Question Classification: Leveraging BERT and Hybrid Neural Networks Khedimi, Somia; Bouziane, Abdelghani; Bouchiha, Djelloul
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 4: December 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i4.6312

Abstract

This paper presents a deep learning approach for Arabic question classification, leveraging the strengths of pre-trained language models and advanced neural network architectures to address the unique challenges of Arabic text processing. The proposed methodology employs BERT and Word2Vec to generate contextualized and semantic-rich representations of Arabic questions, effectively capturing their linguistic intricacies and morphological complexity. These embeddings are fed into a hybrid classification framework combining Convolutional Neural Networks (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) networks, enabling the extraction of both spatial and sequential features from the input. Experimental results demonstrate the model’s effectiveness, achieving an accuracy of 85.12%, along with high precision, recall, and F1-score metrics. These findings highlight the potential of integrating pre-trained Arabic-specific language models with hybrid deep learning architectures, providing a robust solution for Arabic question classification. This work contributes to advancing Arabic natural language processing, offering a strong foundation for the development of high-performance question-answering systems and related applications.
Co-Authors BOUCHIHA, Djelloul KHEDIMI, Somia