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

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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Bibliographic Details
Main Authors: Muhammad Zain, Nisar Hussain, Amna Qasim, Gull Mehak, Fiaz Ahmad, Grigori Sidorov, Alexander Gelbukh
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Algorithms
Subjects:
deep learning
machine learning
support vector machine
large language model
Online Access:https://www.mdpi.com/1999-4893/18/7/396
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https://www.mdpi.com/1999-4893/18/7/396

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