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» Structural Topic Model for Latent Topical Structure Analysis
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NIPS
2007
13 years 10 months ago
Supervised Topic Models
We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
David M. Blei, Jon D. McAuliffe
JCDL
2006
ACM
159views Education» more  JCDL 2006»
14 years 2 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
NIPS
2007
13 years 10 months ago
Spatial Latent Dirichlet Allocation
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
Xiaogang Wang, Eric Grimson
ICSM
2009
IEEE
14 years 3 months ago
What's hot and what's not: Windowed developer topic analysis
As development on a software project progresses, developers shift their focus between different topics and tasks many times. Managers and newcomer developers often seek ways of un...
Abram Hindle, Michael W. Godfrey, Richard C. Holt