Author-topic Models
Author-Topic Models is a probabilistic topic model that extends the Latent Dirichlet Allocation framework by incorporating authorship information to model the association between authors and topics in document collections.
267
Publications
24.8K
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746
Authors
296
Institutions
Publications per year
2017–2026
96
Variants
Author-topic Model
Parents
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Jie Tang, Jing Zhang, Limin Yao et al. · 2008 · 2.1K citations
The author-topic model for authors and documents
Michal Rosen‐Zvi, Thomas Griffiths, Mark Steyvers et al. · Uncertainty in Artificial Intelligence · 2004 · 1.3K citations
A Latent Variable Model for Geographic Lexical Variation
Jacob Eisenstein, Brendan O’Connor, Noah A. Smith et al. · Figshare · 2018 · 607 citations · Full text
Computing, Geography, Linguistics +17
Probabilistic author-topic models for information discovery
Mark Steyvers, Padhraic Smyth, Michal Rosen‐Zvi et al. · 2004 · 583 citations
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Stanford University
Stanford, United States
12 h-index
31 publications
15.6K citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
25 publications
4.6K citations
University of California, Irvine
Irvine, United States
8 h-index
23 publications
18K citations
Tsinghua University
Beijing, China
7 h-index
18 publications
9.3K citations

Pennsylvania State University
State College, United States
7 h-index
28 publications
2.2K citations
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
19 publications
2.4K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
10 publications
386 citations

Johns Hopkins University
Baltimore, United States
5 h-index
11 publications
261 citations
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Repository · 8 publications · 254 citations
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8 publications · 137 citations
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6 publications · 198 citations
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6 publications · 217 citations
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6 publications · 492 citations
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