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NIPS
2007
13 years 9 months ago
Distributed Inference for Latent Dirichlet Allocation
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...
DAWAK
2008
Springer
13 years 9 months ago
Adapting LDA Model to Discover Author-Topic Relations for Email Analysis
Analyzing the author and topic relations in email corpus is an important issue in both social network analysis and text mining. The AuthorTopic model is a statistical model that id...
Liqiang Geng, Hao Wang, Xin Wang, Larry Korba
ACL
2006
13 years 9 months ago
BiTAM: Bilingual Topic AdMixture Models for Word Alignment
We propose a novel bilingual topical admixture (BiTAM) formalism for word alignment in statistical machine translation. Under this formalism, the parallel sentence-pairs within a ...
Bing Zhao, Eric P. Xing
UAI
2008
13 years 9 months ago
Continuous Time Dynamic Topic Models
In this paper, we develop the continuous time dynamic topic model (cDTM). The cDTM is a dynamic topic model that uses Brownian motion to model the latent topics through a sequenti...
Chong Wang, David M. Blei, David Heckerman
ACL
2011
12 years 11 months ago
Interactive Topic Modeling
Topic models have been used extensively as a tool for corpus exploration, and a cottage industry has developed to tweak topic models to better encode human intuitions or to better...
Yuening Hu, Jordan L. Boyd-Graber, Brianna Satinof...