RU-OLD: A Comprehensive Analysis of Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning, Deep Learning, and Transformer Models

The detection of abusive language in Roman Urdu is important for secure digital interaction. This work investigates machine learning (ML), deep learning (DL), and transformer-based methods for detecting offensive language in Roman Urdu comments collected from YouTube news channels. Extracted feature...

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Veröffentlicht in:	Algorithms Jg. 18; H. 7; S. 396
Hauptverfasser:	Zain, Muhammad, Hussain, Nisar, Qasim, Amna, Mehak, Gull, Ahmad, Fiaz, Sidorov, Grigori, Gelbukh, Alexander
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.07.2025
Schlagworte:	Artificial neural networks Classification Datasets Deep learning Electric transformers Hate speech large language model Large language models Machine learning Natural language processing Rankings Social networks support vector machine Support vector machines
ISSN:	1999-4893, 1999-4893
Online-Zugang:	Volltext
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