Latent dirichlet allocation
Citations
1,397 citations
1,383 citations
Cites background or methods from "Latent dirichlet allocation"
...The hope was that LDA topics would turn out to be useful for categorization, since they act to reduce data dimension (Blei et al., 2003; Fei-Fei and Perona, 2005; Quelhas et al., 2005)....
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...The first three terms and the entropy of the variational distribution are identical to the corresponding terms in the ELBO for unsupervised LDA (Blei et al., 2003)....
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...Most topic models, such as latent Dirichlet allocation (LDA) (Blei et al., 2003), are unsupervised....
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...The complexity of document corpora has led to considerable interest in applying hierarchical statistical models based on what are called topics (Blei and Lafferty, 2009; Blei et al., 2003; Griffiths et al., 2005; Erosheva et al., 2004)....
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...Thus, the coordinate ascent update is as in [4], γ new ← α + ∑N n=1 φn ....
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1,373 citations
Cites background from "Latent dirichlet allocation"
...This is the only additional dependency we introduce in LDA’s representation (please compare with Figure 1 in (Blei et al., 2003))....
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...One promising approach to the credit attribution problem lies in the machinery of Latent Dirichlet Allocation (LDA) (Blei et al., 2003), a recent model that has gained popularity among theoreticians and practitioners alike as a tool for automatic corpus summarization and visualization....
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...The model description that follows assumes the reader is familiar with the basic LDA model (Blei et al., 2003)....
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...Steps 1 and 2—drawing the multinomial topic distributions over vocabulary βk for each topic k, from a Dirichlet prior η—remain the same as for traditional LDA (see (Blei et al., 2003), page 4)....
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1,364 citations
Cites methods from "Latent dirichlet allocation"
...A popular topic modeling approach is Latent Dirichlet Allocation (LDA) [7]....
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1,351 citations
Additional excerpts
...As in standard LDA (Blei et al., 2003), each bag of words is associated with a distribution over topics, Multinomial(θe), and each topic is associated with a distribution over words, Multinomial(βt)....
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References
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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