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Concept information

NLP methods and tools > NLP algorithm > topic modelling algorithm > latent Dirichlet allocation
NLP methods and tools > NLP algorithm > classification algorithm > latent Dirichlet allocation

Terme préférentiel

latent Dirichlet allocation  

Définition

  • A Bayesian network that explains a set of observations through unobserved groups, and each group explains why some parts of the data are similar. (Wikipedia)

Concept générique

Concepts spécifiques

Synonyme(s)

  • LDA

Contexte(s) définitoire(s)

  • Latent Dirichlet allocation (LDA) is a popular topic modeling technique for exploring hidden topics in text corpora. (Yang, Downey & Boyd-Graber, 2015)

Exemple

  • We perform Latent Dirichlet Allocation (LDA) across the depression and stress data to identify topical themes. (Aich & Parde, 2022)

Traductions

URI

http://data.loterre.fr/ark:/67375/8LP-C61X6KSR-Q

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