Textual Emotion Classification Using Deep Broad Learning

In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning. Since broad learning possesses certain advantages such as simple network structure, short training time and strong generalization ability, it is a new and promising frame...

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Detaylı Bibliyografya

Asıl Yazarlar:	Peng, Sancheng (Yazar), Cao, Lihong (Yazar)
Müşterek Yazar:	SpringerLink (Online service)
Materyal Türü:	Elektronik Ekitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edisyon:	1st ed. 2024.
Seri Bilgileri:	Socio-Affective Computing, 11
Konular:	Natural language processing (Computer science). Machine learning. Computational linguistics. Artificial intelligence. Natural Language Processing (NLP). Machine Learning. Computational Linguistics. Artificial Intelligence.
Online Erişim:	https://doi.org/10.1007/978-3-031-67718-2
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