Latent dirichlet allocation
Citations
594 citations
Cites background from "Latent dirichlet allocation"
...Latent Dirichlet allocation (LDA) (Blei et al., 2003) can be understood as a special-case of PAM with a three-level hierarchy....
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...Latent Dirichlet allocation (LDA) (Blei et al., 2003) is a widely-used topic model, often applied to textual data, and the basis for many variants....
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592 citations
Cites background or methods from "Latent dirichlet allocation"
...Using a word distribution to model topics is quite common in information retrieval and text mining [5, 9, 2]....
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...Specifically, the aspect models studied in [9, 20, 2] are related to the mixture theme model we use to extract themes....
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591 citations
Cites background from "Latent dirichlet allocation"
...…92697-3425 smyth@ics.uci.edu Alexander Ihler Dept. of Computer Science University of California, Irvine Irvine, CA 92697-3425 ihler@ics.uci.edu Max Welling Dept. of Computer Science University of California, Irvine Irvine, CA 92697-3425 welling@ics.uci.edu ABSTRACT In this paper we introduce…...
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587 citations
584 citations
Cites methods from "Latent dirichlet allocation"
...…u, and Wu is the set of all words issued by 1Note that as far as language models are concerned, we prefer the use of Latent Dirichlet Allocation (LDA) (Blei, Ng, and Jordan 2002) and automatically bootstrapped prototyical words over a more simple bag-of-word model (various studies, e.g. (Rao et…...
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References
17,608 citations
16,079 citations
"Latent dirichlet allocation" refers background in this paper
...Finally, Griffiths and Steyvers (2002) have presented a Markov chain Monte Carlo algorithm for LDA....
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...Structures similar to that shown in Figure 1 are often studied in Bayesian statistical modeling, where they are referred to ashierarchical models(Gelman et al., 1995), or more precisely asconditionally independent hierarchical models(Kass and Steffey, 1989)....
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...Structures similar to that shown in Figure 1 are often studied in Bayesian statistical modeling, where they are referred to as hierarchical models (Gelman et al., 1995), or more precisely as conditionally independent hierarchical models (Kass and Steffey, 1989)....
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12,443 citations
"Latent dirichlet allocation" refers methods in this paper
...To address these shortcomings, IR researchers have proposed several other dimensionality reduction techniques, most notably latent semantic indexing (LSI) (Deerwester et al., 1990)....
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...To address these shortcomings, IR researchers have proposed several other dimensionality reduction techniques, most notablylatent semantic indexing (LSI)(Deerwester et al., 1990)....
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12,059 citations
"Latent dirichlet allocation" refers background or methods in this paper
...In the populartf-idf scheme (Salton and McGill, 1983), a basic vocabulary of “words” or “terms” is chosen, and, for each document in the corpus, a count is formed of the number of occurrences of each word....
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...We report results in document modeling, text classification, and collaborative filtering, comparing to a mixture of unigrams model and the probabilistic LSI model....
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7,086 citations