From Text to Insight: An Integrated CNN-BiLSTM-GRU Model for Arabic Cyberbullying Detection-Reference-Cited by-同舟云学术

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From Text to Insight: An Integrated CNN-BiLSTM-GRU Model for Arabic Cyberbullying Detection

Published:2024 Issue: Volume:12 Page:103504-103519
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Daraghmi Eman-Yaser¹^ORCID,Qadan Sajida²,Daraghmi Yousef-Awwad³,Yousuf Rami³,Cheikhrouhou Omar⁴^ORCID,Baz Mohammed⁵^ORCID

Affiliation:

1. Department of Computer Science, Palestine Technical University—Kadoorie, Tulkarm, Palestine

2. Faculty of Graduate Studies, Palestine Technical University—Kadoorie, Tulkarm, Palestine

3. Department of Computer Systems Engineering, Palestine Technical University—Kadoorie, Tulkarm, Palestine

4. Higher Institute of Computer Science of Mahdia, University of Monastir, Mahdia, Tunisia

5. Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia

Funder

Taif University, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10605813.pdf?arnumber=10605813

Reference49 articles.

1. A Deep Learning Framework for the Detection of Malay Hate Speech

2. A Hybrid Approach for Detecting Automated Spammers in Twitter

3. Artificial Bee Colony–Based Feature Selection Algorithm for Cyberbullying

4. A Framework for Hate Speech Detection Using Deep Convolutional Neural Network

5. Approaches to Automated Detection of Cyberbullying: A Survey

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