Detecting hate speech in roman Urdu using a convolutional-BiLSTM-based deep hybrid neural network

The detection of hate speech on social media has become a pressing challenge, particularly in multilingual and low-resource language settings such as Roman Urdu, where informal grammar, code-switching, and inconsistent orthography hinder accurate classification. Despite progress in hate speech detec...

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主要な著者:	Muhammad Zohaib, Ghulam Farooque, Mohammad Alsulami, Fazeel Abid, Ali Alqazzaz, Mana Saleh Al Reshan, Jawad Rasheed, Asadullah Shaikh
フォーマット:	Artigo
言語:	Inglês
出版事項:	PeerJ Inc. 2025-11-01
シリーズ:	PeerJ Computer Science
主題:	Hybrid neural network Roman Urdu Deep learning Short-term memory Convolutional layers Text data
オンライン･アクセス:	https://peerj.com/articles/cs-3342.pdf
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