Latent Dirichlet Allocation (LDA) topic models for Space Syntax studies on spatial experience

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Latent Dirichlet Allocation (LDA) topic models for Space Syntax studies on spatial experience ; volume:11 ; number:1 ; day:9 ; month:1 ; year:2024 ; pages:1-20 ; date:12.2024
City, Territory and Architecture ; 11, Heft 1 (9.1.2024), 1-20, 12.2024

Creator: Lee, Ju Hyun
Ostwald, Michael J.

Contributor: SpringerLink (Online service)

DOI: 10.1186/s40410-023-00223-3

URN: urn:nbn:de:101:1-2024032121104583859193

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:57 AM CEST

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Lee, Ju Hyun
Ostwald, Michael J.
SpringerLink (Online service)

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Latent Dirichlet Allocation (LDA) topic models for Space Syntax studies on spatial experience

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