Latent dirichlet allocation
Citations
168 citations
168 citations
Cites methods from "Latent dirichlet allocation"
...Interestingly, the topics discovered by LDA reflected mostly the same frequent categories used in Table 1 (e.g., clothing, walks, fundraisers, etc.)....
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...In addition to using the defined categories, unsupervised content clustering was also performed on the content using LDA....
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...LDA is a probabilistic model that hypothesizes that each document (e.g., individual tweets) in a given corpus (e.g., all the tweets) has been generated as a mixture of unobserved, or latent, topics, where a topic is characterized by a categorical distribution over words....
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...We used the popular MALLET implementation, an open-source software that contains the LDA algorithm [27,28]....
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...We focused here on topic discovery through Latent Dirichlet Allocation (LDA) [27]....
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168 citations
168 citations
Cites background or methods from "Latent dirichlet allocation"
...For the blog dataset, articles are represented using d = 100 topics generated using Latent Dirichlet Allocation [4], and w⇤ was derived from a preliminary version of our user study....
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..., the topics and coverage probabilities can be derived from a topic model such as LDA [4]....
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...We call this independence property conditional submodular independence, which we will leverage in 2E.g., the topics and coverage probabilities can be derived from a topic model such as LDA [4]....
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168 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