Latent dirichlet allocation
Citations
156 citations
Cites methods from "Latent dirichlet allocation"
...These studies apply formal approaches such as, Latent Dirichlet Allocation [81], or Hidden Markov Models [82], etc....
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156 citations
Cites background or methods or result from "Latent dirichlet allocation"
...HybFSum (Hybrid Flat Summarizer): To investigate the performance of hierarchical topic model, we build another hybrid model using flat LDA (Blei et al., 2003b)....
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...We present a probabilistic topic model on sentence level building on hierarchical Latent Dirichlet Allocation (hLDA) (Blei et al., 2003a), which is a generalization of LDA (Blei et al., 2003b)....
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...We discover hidden topic distributions of sentences in a given document cluster along with provided summary sentences based on hLDA described in (Blei et al., 2003a)1....
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...HybHSum1 and HybHSum2: To analyze the effect of the new nCRP prior of sumHLDA on sum- marization model performance, we build two different versions of our hybrid model: HybHSum1 using standard hLDA (Blei et al., 2003a) and HybHSum2 using our sumHLDA....
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...We compare the results to hLDA (Blei et al., 2003a) with nCRP prior which uses only one free parameter, γ....
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155 citations
155 citations
Cites methods from "Latent dirichlet allocation"
...We use Latent Dirichlet Allocation (LDA) and requesters’ selected keywords to capture the type of the work (Blei, Ng, and Jordan 2003)....
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155 citations
Cites methods from "Latent dirichlet allocation"
...Unsupervised learning is a dimensionality reduction approach that includes principal component analysis (PCA),(44) t‐Distributed Stochastic Neighbor Embedding,(45) and latent Dirichlet analysis.(46) Semi‐supervised learning involves aspects of both supervised and unsupervised learning....
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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