Sequential latent dirichlet allocation: Discover underlying topic structures within a document

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Abstract

Latent Dirichlet Allocation, Poisson-Dirichlet process, collapsed Gibbs sampler, document structure
Original languageEnglish
Title of host publicationProceedings of the 10th IEEE International Conference on Data Mining
EditorsGeoffrey I Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu
Place of PublicationLos Alamitos CA USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages148 - 157
Number of pages10
ISBN (Print)9780769542560
DOIs
Publication statusPublished - 2010
Externally publishedYes
EventIEEE International Conference on Data Mining 2010 - Sydney NSW Australia, Los Alamitos CA USA
Duration: 14 Dec 201017 Dec 2010
Conference number: 10th

Conference

ConferenceIEEE International Conference on Data Mining 2010
Abbreviated titleICDM 2010
CityLos Alamitos CA USA
Period14/12/1017/12/10

Cite this

Du, L., Buntine, W. L., & Jin, H. (2010). Sequential latent dirichlet allocation: Discover underlying topic structures within a document. In G. I. Webb, B. Liu, C. Zhang, D. Gunopulos, & X. Wu (Eds.), Proceedings of the 10th IEEE International Conference on Data Mining (pp. 148 - 157). Los Alamitos CA USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICDM.2010.51