Multi-label text classification on unbalanced Twitter with monolingual model and hyperparameter optimization for hate speech and abusive language detection

The increase in hate speech and abusive language on social media leads to uncomfortable interactions among users. Many datasets available publicly that address hate speech and abusive language are not balanced, particularly those from Indonesian Twitter. To develop a more effective classification mo...

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Bibliographische Detailangaben

Veröffentlicht in:	International journal of advanced and applied sciences Jg. 11; H. 5; S. 177 - 185
Hauptverfasser:	Alzahrani, Ahmad A., Bramantoro, Arif, Permana, Asep
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	01.05.2024
ISSN:	2313-626X, 2313-3724
Online-Zugang:	Volltext
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