Latent dirichlet allocation
Citations
290 citations
Cites background or methods from "Latent dirichlet allocation"
...In recent years, several alternatives for approximate inference have been suggested: EM [8] or variational EM [3], Expectation propaga-...
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...set ψn = 1 for all n) we obtain the LDA model [3]....
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...The Latent Dirichlet Allocation (LDA) model [3] introduces a more consistent probabilistic approach as it ties the parameters of all documents via a hierarchical generative model....
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290 citations
Cites background from "Latent dirichlet allocation"
...A topic model or mixed membership model is a generalization of a finite mixture model in which each data point is associated with multiple draws from a mixture model, not a single draw (Blei et al., 2003; Erosheva, 2003)....
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290 citations
Cites methods from "Latent dirichlet allocation"
...[25] recently used an extended version of the LDA topic model [5] to obtain object hypotheses in positive images....
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289 citations
289 citations
Cites methods from "Latent dirichlet allocation"
...Alongside quantitative analyses, we build an LDA topic model (Blei et al., 2003) for a qualitative inspection of the text....
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...These were generated with LDA topic model (Blei et al., 2003)....
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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