Assessing BERT-based models for Arabic and low-resource languages in crime text classification

Assessing BERT-based models for Arabic and low-resource languages in crime text classification

The bidirectional encoder representations from Transformers (BERT) has recently attracted considerable attention from researchers and practitioners, demonstrating notable effectiveness in various natural language processing (NLP) tasks, including text classification. This efficacy can be attributed...

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Bibliographic Details
Main Authors: Njood K. Al-harbi, Manal Alghieth
Format: Article
Language:English
Published: PeerJ Inc. 2025-07-01
Series:PeerJ Computer Science
Subjects:
Artificial intelligence
Deep learning
Transformer
BERT
Text classification
Crime classification
Online Access:https://peerj.com/articles/cs-3017.pdf
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