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Topic Modeling is an approach used for automatic comprehension and classification of data in a variety of settings, and perhaps the canonical application is in uncovering thematic structure in a corpus of documents.
Maximum likelihood from incomplete data via the EM Algorithm
A. P. Dempster, N. M. Laird, and D. B. Rubin · 1977
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Mixture densities, maximum likelihood and the EM Algorithm
R. A. Redner and H. F. Walker · 1984
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Indexing by latent semantic analysis
S. Deerwester, S. Dumais, T. Landauer, G. Furnas and R. Harshman · 1990
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Nonnegative ranks, decompositions and factorizations of nonnegative matices
J. Cohen and U. Rothblum · 1993
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Matrix Computations
G. Golub and C. van Loan · 1996
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Recommendation systems: a probabilistic analysis
R. Kumar, P. Raghavan, S. Rajagopalan and A. Tomkins · 1998
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Latent semantic indexing: a probabilistic analysis
C. Papadimitriou, P. Raghavan, H. Tamaki and S. Vempala · 1998
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Probabilistic latent semantic analysis
T. Hofmann · 1999
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Introduction to variational methods for graphical models
M. Jordan, Z. Ghahramani, T. Jaakola and L. Saul · 1999
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Learning the parts of objects by non-negative matrix factorization
D. Lee and H. Seung · 1999
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Algorithms for non-negative matrix factorization
D. Lee and H. Seung · 2000
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Y. Azar, A. Fiat, A. Karlin, F. McSherry and J. Saia · 2001
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D. Blei, A. Ng and M. Jordan · 2001
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J. Matousek · 2002
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When does non-negative matrix factorization give the correct decomposition into parts?
D. Donoho and V. Stodden · 2003
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Convergent algorithms for collaborative filtering
J. Kleinberg and M. Sandler · 2003
Dynamic topic models
D. Blei and J. Lafferty · 2006
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A correlated topic model of Science
D. Blei and J. Lafferty · 2007
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Pachinko Allocation: DAG-structured mixture models of topic correlations
W. Li and A. McCallum · 2007
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Graphical models, exponential families, and variational inference
M. Wainwright and M. Jordan · 2008
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On the complexity of nonnegative matrix factorization
S. Vavasis · 2009
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Complexity of inference in Latent Dirichlet Allocation
D. Sontag and D. Roy · 2011
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Document clustering based on non-negative matrix factorization
W. Xu and X. Liu and Y. Gong · 2003
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Non-negative matrix factorization with sparseness constraints
P. Hoyer · 2004
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Using mixture models for collaborative filtering
J. Kleinberg and M. Sandler · 2004
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Personal communication
D. Blei
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A. Anandkumar, D. Hsu and S. Kakade · 2012
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Computing a nonnegative matrix factorization – provably
S. Arora, R. Ge, R. Kannan and A. Moitra · 2012
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Introduction to probabilistic topic models
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