Skip to main

Vocabulary of natural language processing

Search from vocabulary

  • Ayuda
mapear
anotar
descargar

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

Término preferido

latent Dirichlet allocation  

Definición

  • 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)

Concepto genérico

Conceptos específicos

Etiquetas alternativas

  • LDA

Contexto(s) definitorio(s)

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

Ejemplo

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

En otras lenguas

URI

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

Descargue este concepto:

RDF/XML TURTLE JSON-LD última modificación 3/5/24