Latent dirichlet allocation
Citations
703 citations
Additional excerpts
..., the latent Dirichlet allocation [4]....
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702 citations
Cites methods from "Latent dirichlet allocation"
...Topic modeling [103] was also used to model the underlying semantic topics of docu-...
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701 citations
Cites methods from "Latent dirichlet allocation"
...Model-based approaches for the task of recommending items are numerous and include Bayesian Clustering [10], Latent Semantic Analysis [32], Latent Dirichlet Allocation [9], Maximum Entropy [78], Boltzmann Machines [64], Support Vector Machines [27], and Singular Value Decomposition [4, 42, 57, 74, 75]....
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701 citations
Cites background or methods from "Latent dirichlet allocation"
...tions maximum likelihood estimation with EM can be used or variational approximations can be derived [3]....
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...Unfortunately exact inference in such model is intractable and various approximations have been considered [3, 23, 14]....
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...Originally, the variational EM approach was proposed in [3], which instead of generating φ from Dirichlet priors, point estimates of distributions φ are used and approximate inference in the resulting model is performed using variational techniques....
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...Analysis [17] and Latent Dirichlet Allocation (LDA) [3] –...
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...In this section we will consider applicability of the most standard methods for unsupervised modeling of documents, Probabilistic Latent Semantic Analysis, PLSA [17] and Latent Dirichlet Allocation, LDA [3] to the considered problem....
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699 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