Correlated Topic Models is a probabilistic topic model that extends Latent Dirichlet Allocation by incorporating a logistic normal distribution to capture correlations among topics within documents.
98
Publications
8.4K
Citations
288
Authors
140
Institutions
Publications per year
2017–2026
37
Parents
Publications
98
A correlated topic model of Science
The Annals of Applied Statistics · 2007 · 944 citations · Full text
John Lafferty, David M. Blei · Neural Information Processing Systems · 2005 · 931 citations
Wei Li, Andrew McCallum · 2006 · 619 citations
Xieling Chen, Di Zou, Gary Cheng et al. · Computers & Education · 2020 · 385 citations · Full text
1–5 of 98
Authors
288
- DM
8
h-index
- AM
5
h-index
- JL
4
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- EP
3
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- BZ
2
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1–5 of 288
Institutions
140
Carnegie Mellon University
Pittsburgh, United States
10 h-index
22 publications
3.7K citations
Princeton University
Princeton, United States
8 h-index
14 publications
3.8K citations
University of Massachusetts Amherst
Amherst Center, United States
4 h-index
9 publications
1.1K citations
Beihang University
Beijing, China
3 h-index
6 publications
144 citations
Stanford University
Stanford, United States
3 h-index
15 publications
750 citations
Microsoft (United States)
Redmond, United States
3 h-index
4 publications
116 citations
Inserm
Paris, France
2 h-index
7 publications
394 citations
Kansas State University
Manhattan, United States
2 h-index
3 publications
199 citations
1–8 of 140
Venues
- arXiv (Cornell University)
Repository · 7 publications · 217 citations
7
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- International Journal of Advanced Computer Science and Applications
IJACSA · 2 publications · 385 citations
2
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- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 2 publications · 61 citations
2
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- Transactions of the Association for Computational Linguistics
TACL · 2 publications · 39 citations
2
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- The Annals of Applied Statistics
AOAS · 2 publications · 995 citations
2
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