Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT

Abstract Sentiment analysis (SA) as a research field has gained popularity among the researcher throughout the globe over the past 10 years. Deep neural networks (DNN) and word vector models are employed nowadays and perform well in sentiment analysis. Among the different deep neural networks utiliz...

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Autori principali:	Lal Khan, Atika Qazi, Hsien-Tsung Chang, Mousa Alhajlah, Awais Mahmood
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2024-11-01
Serie:	Complex & Intelligent Systems
Soggetti:	Sentiment analysis Word embedding Machine learning Deep learning Bi-LSTM CNN
Accesso online:	https://doi.org/10.1007/s40747-024-01631-9
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