Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data and text documents. Researchers have published many articles in the field of topic modeling and applied in various fields such as software engineering, po...

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Veröffentlicht in:	Multimedia tools and applications Jg. 78; H. 11; S. 15169 - 15211
Hauptverfasser:	Jelodar, Hamed, Wang, Yongli, Yuan, Chi, Feng, Xia, Jiang, Xiahui, Li, Yanchao, Zhao, Liang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2019 Springer Nature B.V
Schlagworte:	Computer Communication Networks Computer Science Data mining Data Structures and Information Theory Dirichlet problem Modelling Multimedia Information Systems Researchers Software engineering Special Purpose and Application-Based Systems Topic modeling Semantic web Latent Dirichlet allocation Gibbs sampling Tag recommendation
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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