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Concept information

... > information entity > theoretical entity > model > computational model > distributional model > probabilistic topic model

Preferred term

probabilistic topic model  

Definition

  • "A generative probabilistic model that uses Bayesian inference to abstract the mental “topics” used to compose a set of documents." (Jones et al., 2015, p. 251).

Broader concept

Related concepts

Entry terms

  • topic model
  • topic modeling

Belongs to group

Bibliographic citation(s)

  • • Blei, D. M. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84. https://doi.org/10.1145/2133806.2133826

    [Study type: literature review / Access: closed]
  • • Griffiths, T. L., & Steyvers, M. (2004). Finding scientific topics. Proceedings of the National Academy of Sciences, 101(suppl 1), 5228‑5235. https://doi.org/10.1073/pnas.0307752101

    [Study type: empirical study / Access: open]
  • • Griffiths, T. L., Steyvers, M., & Tenenbaum, J. B. (2007). Topics in semantic representation. Psychological Review, 114(2), 211‑244. https://doi.org/10.1037/0033-295X.114.2.211

    [Study type: empirical study / Access: closed]
  • • Jones, M. N., Willits, J. A., & Dennis, S. (2015). Models of semantic memory. In J. R. Busemeyer, Z. Wang, J. T. Townsend, & A. Eidels (Eds.), The Oxford handbook of computational and mathematical psychology (p. 232‑254). Oxford University Press.

    [Study type: literature review / Access: closed]
  • • Kumar, A. A. (2020). Semantic memory : A review of methods, models, and current challenges. Psychonomic Bulletin & Review. https://doi.org/10.3758/s13423-020-01792-x

    [Study type: literature review / Access: open]

Creator

  • Frank Arnould

Model of

In other languages

URI

http://data.loterre.fr/ark:/67375/P66-Z32BVG4N-3

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