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

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

Abstract Spatial experience has been extensively researched in various fields, with Space Syntax being one of the most widely used methodologies. Multiple Space Syntax techniques have been developed and used to quantitively examine the relationship between spatial configuration and human experience....

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Bibliographic Details
Main Authors: Ju Hyun Lee, Michael J. Ostwald
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:City, Territory and Architecture
Subjects:
Topic modelling
Systematic review
Space Syntax
Latent Dirichlet Allocation (LDA)
PRISMA
Online Access:https://doi.org/10.1186/s40410-023-00223-3

Internet

https://doi.org/10.1186/s40410-023-00223-3

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