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Arabic hate speech detection based on BERT models variants
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DOI：10.1016/j.eij.2025.100845.png)
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Abstract
En 中文
• A comprehensive evaluation of six Arabic BERT models for hate speech detection. • Research addresses challenges from dialectal variations and noisy user-generated content. • A new error analysis identifies the strengths and weaknesses of each BERT model. • The study contributes to safer online environments for Arabic-speaking users.
Keywords:
Hate speech
Arabic
Social media
NLP
Text classification
BERT
Hyperparameter optimization
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