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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Bibliographic Details

Published in:	Multimedia tools and applications Vol. 78; no. 11; pp. 15169 - 15211
Main Authors:	Jelodar, Hamed, Wang, Yongli, Yuan, Chi, Feng, Xia, Jiang, Xiahui, Li, Yanchao, Zhao, Liang
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2019 Springer Nature B.V
Subjects:	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 Access:	Get full text
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