Latent dirichlet allocation
Citations
1,726 citations
1,710 citations
1,672 citations
Cites background from "Latent dirichlet allocation"
...There are many choices for modeling co-occurrence data (Brown et al., 1992; Pereira et al., 1993; Blei et al., 2003)....
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1,645 citations
Cites background or methods from "Latent dirichlet allocation"
...The goal of latent Dirichlet allocation (LDA) [4], like ours, is to discover hidden dimensions in text....
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...(c) Product topics learned using LDA: Finally, as a baseline that combines both text and product features, we consider Latent Dirichlet Allocation [4]....
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...3) would be found by Gibbs sampling [4]....
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...Parameters Φ = {θ, φ} and topic assignments z are traditionally updated via Gibbs sampling [4]....
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1,628 citations
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