Probabilistic Topic Models Foundation and Application /

This book introduces readers to the theoretical foundation and application of topic models. It provides readers with efficient means to learn about the technical principles underlying topic models. More concretely, it covers topics such as fundamental concepts, topic model structures, approximate in...

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Detaylı Bibliyografya
Asıl Yazarlar:	Jiang, Di (Yazar), Zhang, Chen (Yazar), Song, Yuanfeng (Yazar)
Müşterek Yazar:	SpringerLink (Online service)
Materyal Türü:	Elektronik Ekitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edisyon:	1st ed. 2023.
Konular:	Natural language processing (Computer science). Machine learning. Artificial intelligence > Data processing. Computational linguistics. Computer science. Algorithms. Natural Language Processing (NLP). Machine Learning. Data Science. Computational Linguistics. Theory and Algorithms for Application Domains. Design and Analysis of Algorithms.
Online Erişim:	https://doi.org/10.1007/978-981-99-2431-8
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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Probabilistic Topic Models Foundation and Application /

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