Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization

With the rapid increase of users over social media, cyberbullying, and hate speech problems have arisen over the past years. Automatic hate speech detection (HSD) from text is an emerging research problem in natural language processing (NLP). Researchers developed various approaches to solve the aut...

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Veröffentlicht in:	Scientific reports Jg. 14; H. 1; S. 28590 - 22
Hauptverfasser:	Ashiq, Waqar, Kanwal, Samra, Rafique, Adnan, Waqas, Muhammad, Khurshaid, Tahir, Montero, Elizabeth Caro, Alonso, Alicia Bustamante, Ashraf, Imran
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 19.11.2024 Nature Publishing Group Nature Portfolio
Schlagworte:	639/705/117 639/705/258 Accuracy Algorithms Bayes Theorem Bayesian analysis Benchmarks Classification Cyberbullying Deep Learning Hate Hate speech Hate speech detection Humanities and Social Sciences Humans Language Learning algorithms Machine Learning Mathematical models Model optimization multidisciplinary Natural Language Processing Optimization Science Science (multidisciplinary) Social discrimination learning Speech Urdu text classification Deep learning Model optimization Urdu text classification Hate speech detection
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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