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CIKM
2008
Springer
13 years 5 months ago
Topic models and a revisit of text-related applications
Topic models such as aspect model or LDA have been shown as a promising approach for text modeling. Unlike many previous models that restrict each document to a single topic, topi...
Viet Ha-Thuc, Padmini Srinivasan
CIKM
2008
Springer
13 years 5 months ago
Combining concept hierarchies and statistical topic models
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
JCDL
2010
ACM
184views Education» more  JCDL 2010»
13 years 8 months ago
Evaluating topic models for digital libraries
Topic models could have a huge impact on improving the ways users find and discover content in digital libraries and search interfaces, through their ability to automatically lea...
David Newman, Youn Noh, Edmund M. Talley, Sarvnaz ...
SIGIR
2004
ACM
13 years 9 months ago
Language-specific models in multilingual topic tracking
Topic tracking is complicated when the stories in the stream occur in multiple languages. Typically, researchers have trained only English topic models because the training storie...
Leah S. Larkey, Fangfang Feng, Margaret E. Connell...
JCDL
2006
ACM
159views Education» more  JCDL 2006»
13 years 9 months ago
Bibliometric impact measures leveraging topic analysis
Measurements of the impact and history of research literature provide a useful complement to scientific digital library collections. Bibliometric indicators have been extensively...
Gideon S. Mann, David M. Mimno, Andrew McCallum
PKDD
2009
Springer
92views Data Mining» more  PKDD 2009»
13 years 10 months ago
A Generic Approach to Topic Models
This article contributes a generic model of topic models. To define the problem space, general characteristics for this class of models are derived, which give rise to a represent...
Gregor Heinrich
KI
2009
Springer
13 years 10 months ago
Variational Bayes for Generic Topic Models
The article contributes a derivation of variational Bayes for a large class of topic models by generalising from the well-known model of latent Dirichcation. For an abstraction of ...
Gregor Heinrich, Michael Goesele
ACML
2009
Springer
13 years 10 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
ICML
2009
IEEE
13 years 10 months ago
Independent factor topic models
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...
CVPR
2010
IEEE
14 years 18 hour ago
What's going on? Discovering Spatio-Temporal Dependencies in Dynamic Scenes
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
Daniel Kuettel, Michael Breitenstein, Luc Van Gool...