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ACML
2009
Springer
14 years 3 months ago
Estimating Likelihoods for Topic Models
Abstract. Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have ma...
Wray L. Buntine
ACL
2012
11 years 11 months ago
Authorship Attribution with Author-aware Topic Models
Authorship attribution deals with identifying the authors of anonymous texts. Building on our earlier finding that the Latent Dirichlet Allocation (LDA) topic model can be used t...
Yanir Seroussi, Fabian Bohnert, Ingrid Zukerman
ICML
2006
IEEE
14 years 9 months ago
Pachinko allocation: DAG-structured mixture models of topic correlations
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
Wei Li, Andrew McCallum
ICASSP
2011
IEEE
13 years 23 days ago
Bayesian topic models for describing computer network behaviors
We consider the use of Bayesian topic models in the analysis of computer network traffic. Our approach utilizes latent Dirichlet allocation and time-varying dynamic latent Dirich...
Christopher Cramer, Lawrence Carin
SIGIR
2008
ACM
13 years 9 months ago
Blogger, stick to your story: modeling topical noise in blogs with coherence measures
Topical noise in blogs arises when bloggers digress from the central topical thrust of their blogs. We introduce a method to explicitly incorporate a model of topical noise into a...
Jiyin He, Wouter Weerkamp, Martha Larson, Maarten ...