76 search results - page 1 / 16 » Hierarchical Bayesian Modeling of Topics in Time-Stamped Doc... |
106
Voted
PAMI
2010
14 years 10 months ago
2010
—We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic...
98
Voted
EMNLP
2007
15 years 1 months ago
2007
In this paper, we proposed a novel probabilistic generative model to deal with explicit multiple-topic documents: Parametric Dirichlet Mixture Model(PDMM). PDMM is an expansion of...
114
Voted
ACL
2010
14 years 10 months ago
2010
This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...
108
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ICML
2010
IEEE
15 years 16 days ago
2010
IEEE
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
92
Voted
AI
2008
Springer
15 years 2 months ago
2008
Springer
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...