Microbiome subcommunity learning with logistic-tree normal latent Dirichlet allocation. [PDF]
LeBlanc P, Ma L.
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Latent Dirichlet Allocation in R
Topic models are a new research field within the computer sciences information retrieval and text mining. They are generative probabilistic models of text corpora inferred by machine learning and they can be used for retrieval and text mining tasks. The most prominent topic model is latent Dirichlet allocation (LDA), which was introduced in 2003 by ...
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Representation of drug addiction in Pakistani print media: A Latent Dirichlet Allocation analysis. [PDF]
Zahid S, Nawaz M, Zahra K.
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Matrix prior for data transfer between single cell data types in latent Dirichlet allocation. [PDF]
Min A, Durham T, Gevirtzman L, Noble WS.
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Bibliometric and Latent Dirichlet Allocation (LDA) analysis of artificial intelligence for thyroid nodules. [PDF]
Li X, Yan J, Li N, Li M, Han Y.
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YouTube Communication of the International Council of Nurses: A Topic Modeling Analysis Using Latent Dirichlet Allocation. [PDF]
Ersoy E, Kantek F.
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Public perceptions of digital fashion: An analysis of sentiment and Latent Dirichlet Allocation topic modeling. [PDF]
Zou Y, Luh DB, Lu S.
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Harnessing Latent Dirichlet Allocation-based topic modeling to unveil the focus areas in Ayush healthcare in India. [PDF]
Dutta T, Kumar A.
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Sexually Transmitted Disease-Related Reddit Posts During the COVID-19 Pandemic: Latent Dirichlet Allocation Analysis. [PDF]
Johnson AK +4 more
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Basal Cell Carcinoma Research Landscape Overview via Latent Dirichlet Allocation and HJ-Biplot Analysis. [PDF]
Montes-Escobar K +6 more
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