Latent dirichlet allocation
Citations
242 citations
Cites methods from "Latent dirichlet allocation"
...[20] discovered the latent visual building block in images by making use of the generative topic models that were developed for text mining, such as probabilistic Latent Semantic Analysis (pLSA) [12] and Latent Dirichlet Allocation (LDA) [3]....
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...Fergus et al. [9] and Sivic et al. [20] discovered the latent visual building block in images by making use of the generative topic models that were developed for text mining, such as probabilistic Latent Semantic Analysis (pLSA) [12] and Latent Dirichlet Allocation (LDA) [3]....
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241 citations
Cites background from "Latent dirichlet allocation"
...Index Terms—Friend recommendation, mobile sensing, social networks, life style Ç...
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240 citations
Cites methods from "Latent dirichlet allocation"
...Several other models have been extensions of Latent Dirichlet Allocation (Blei et al., 2003) where topic distributions are learned from words and other perceptual units....
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...Several other models have been extensions of Latent Dirichlet Allocation (Blei et al., 2003) where topic distributions are learned from words and other perceptual units....
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240 citations
Cites background from "Latent dirichlet allocation"
...Latent Dirichlet Allocation (LDA) [35] assumes that a text document has some probability distribution over ‘‘topics,’’ and each such topic is associated with a distribution over words....
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240 citations
Cites methods from "Latent dirichlet allocation"
...More recent techniques such as the latent Dirichlet allocation (LDA) represent term dependencies by assuming that each term is generated from a set of latent variables called the topics [1]....
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...Existing global analysis methods such as the latent semantic indexing (LSA) [3] or latent Dirichlet allocation (LDA) [1] only take into account the co-occurrences between terms at the level of documents instead of considering the context of a term....
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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