Work

Enhancing Multi-Class Cyberbullying Classification with Hybrid Feature Extraction and Transformer-Based Models

Year: 2025

Type: article

Abstract: Cyberbullying on social media poses significant psychological risks, yet most detection systems oversimplify the task by focusing on binary classification, ignoring nuanced categories like passive-aggressive remarks or indire... | Find, read and cite all the research you need on Tech Science Press

Source: Computer Modeling in Engineering & Sciences

DOI: 10.32604/cmes.2025.063092

Authors: Suliman Mohamed Fati, Mohammed A. Mahdi, Mohamed A.G. Hazber, Shahanawaj Ahamad, Sawsan A. Saad, Mohammed Gamal Ragab, Mohammed Al-Shalabi

Institutions: Prince Sultan University, Universiti Teknologi Petronas, University of Ha'il

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4410568294

FWCI: 2.563

Cites: 23

Cited by: 6

Related to: 10