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Latent Dirichlet Allocation in R

, 2012
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 ...
openaire   +2 more sources

Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework. [PDF]

BMC Bioinformatics, 2023
El Hachem EJ, Sokolovska N, Soula H.
europepmc   +1 more source

Global trends in research on environmental chemical exposure and childhood learning disabilities: insights from a two-decade bibliometric and Latent Dirichlet Allocation analysis. [PDF]

Trop Med Health
Liu Q, Shu X, Cao J, Wang Y, Liu Y, Jiang F, Shu J.   +6 more
europepmc   +1 more source

Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation. [PDF]

Front Mol Biosci, 2022
Chen J, Williams M, Huang Y, Si S.
europepmc   +1 more source

Unfolding the policy dynamics of medical data assetization in Chinese public healthcare institutions: evidence from Latent Dirichlet Allocation and dynamic topic modeling analysis. [PDF]

Front Public Health
Han S, Zeng Q, Cui X, Ji Y, Liu K, Li N, Cheng Y.   +6 more
europepmc   +1 more source

Latent Dirichlet allocation topic modeling of free-text responses exploring the negative impact of the early COVID-19 pandemic on research in nursing. [PDF]

Jpn J Nurs Sci, 2023
Inoue M, Fukahori H, Matsubara M, Yoshinaga N, Tohira H.   +4 more
europepmc   +1 more source

Latent Dirichlet Allocation reveals tomato root-associated bacterial interactions responding to hairy root disease. [PDF]

Environ Microbiome
Huo P, Vargas Ribera P, Rediers H, Aerts J.   +3 more
europepmc   +1 more source

Public sentiment analysis on urban regeneration: A massive data study based on sentiment knowledge enhanced pre-training and latent Dirichlet allocation. [PDF]

PLoS One, 2023
Chen K, Wei G.
europepmc   +1 more source

Using Latent Dirichlet Allocation Topic Modeling to Uncover Latent Research Topics and Trends in Renal Cell Carcinoma: Bibliometric Review. [PDF]

JMIR Cancer
De La Hoz-M J, Montes-Escobar K, Salas-Macias CA, Fors M, Ballaz SJ.   +4 more
europepmc   +1 more source

An overview of literature on COVID-19, MERS and SARS: Using text mining and latent Dirichlet allocation. [PDF]

J Inf Sci, 2022
Cheng X, Cao Q, Liao SS.
europepmc   +1 more source