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» Combining concept hierarchies and statistical topic models
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CIKM
2008
Springer
14 years 11 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...
ICML
2007
IEEE
15 years 10 months ago
Mixtures of hierarchical topics with Pachinko allocation
The four-level pachinko allocation model (PAM) (Li & McCallum, 2006) represents correlations among topics using a DAG structure. It does not, however, represent a nested hiera...
David M. Mimno, Wei Li, Andrew McCallum
DEXAW
2010
IEEE
204views Database» more  DEXAW 2010»
14 years 10 months ago
Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets
Automatic generation of taxonomies can be useful for a wide area of applications. In our application scenario a topical hierarchy should be constructed reasonably fast from a large...
Markus Muhr, Vedran Sabol, Michael Granitzer
96
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JACM
2010
208views more  JACM 2010»
14 years 8 months ago
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
81
Voted
ISI
2006
Springer
14 years 9 months ago
Analyzing Entities and Topics in News Articles Using Statistical Topic Models
Statistical language models can learn relationships between topics discussed in a document collection and persons, organizations and places mentioned in each document. We present a...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...