Latent dirichlet allocation
Citations
375 citations
Cites background from "Latent dirichlet allocation"
...The polylingual topic model (PLTM) is an extension of latent Dirichlet allocation (LDA) (Blei et al., 2003) for modeling polylingual document tuples....
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373 citations
Cites background or methods from "Latent dirichlet allocation"
...In recent years, Latent Dirichlet Allocation (LDA) (Blei et al., 2003) and its variants (Titov and McDonald, 2008; Brody and Elhadad, 2010; Zhao et al., 2010; Mukherjee and Liu, 2012) have become the dominant unsupervised approach for aspect extraction....
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...In recent years, Latent Dirichlet Allocation (LDA) (Blei et al., 2003) and its variants (Titov and McDonald, 2008; Brody and Elhadad, 2010; Zhao et al....
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...Most existing works (Brody and Elhadad, 2010; Zhao et al., 2010; Mukherjee and Liu, 2012; Chen et al., 2014) are based on variants and extensions of LDA (Blei et al., 2003)....
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..., 2014) are based on variants and extensions of LDA (Blei et al., 2003)....
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371 citations
Cites methods from "Latent dirichlet allocation"
...Nallapati et al. [18] introduced a model called Pairwise-Link-LDA which models the presence or absence of a link between every pair of documents and thus does not scale to large digital libraries....
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...We run LDA [5] on each candidate set online (by setting the number of topics as 60) to get the topic distributions for documents. mix-features: the candidates are ranked according to the weighted linear combination of the above 6 features....
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...Ranking Time Time is not a major issue for most ranking algorithms except for topic-based methods, where LDA usually took tens of seconds (50 ~ 100) for each new candidate set....
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...We run LDA [5] on each candidate set online (by setting the number of topics as 60) to get the topic distributions for documents....
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370 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