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ICML
2006
IEEE
16 years 4 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
CIKM
2011
Springer
14 years 3 months ago
Classifying trending topics: a typology of conversation triggers on Twitter
Twitter summarizes the great deal of messages posted by users in the form of trending topics that reflect the top conversations being discussed at a given moment. These trending ...
Arkaitz Zubiaga, Damiano Spina, Víctor Fres...
COLING
2000
15 years 4 months ago
The effects of analysing cohesion on document summarisation
We argue that in general, the analysis of lexical cohesion factors in a document can drive a summarizer, as well as enable other content characterization tasks. More narrowly, thi...
Branimir Boguraev, Mary S. Neff
ICDM
2009
IEEE
183views Data Mining» more  ICDM 2009»
15 years 28 days ago
Multirelational Topic Models
In this paper we propose the multirelational topic model (MRTM) for multiple types of link modeling such as citation and coauthor links in document networks. In the citation networ...
Jia Zeng, William K. Cheung, Chun-hung Li, Jiming ...
ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
15 years 9 months ago
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eri...