Latent Dirichlet Allocation (LDA) topic models for Space Syntax studies on spatial experience
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
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
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40410-023-00223-3
- URN
-
urn:nbn:de:101:1-2024032121104583859193
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
2025-08-14T10:57:38+0200
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Lee, Ju Hyun
- Ostwald, Michael J.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Twitter author topic modeling : comparative and classifactory topic analysis using latent Dirichlet allocation
Detecting latent topics and trends in blended learning using LDA topic modeling
Intelligent radar software defect classification approach based on the latent Dirichlet allocation topic model
Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework
PICF-LDA: a topic enhanced LDA with probability incremental correction factor for Web API service clustering
Entities as topic labels : improving topic interpretability and evaluability combining Entity Linking and Labeled LDA
Entities as topic labels : combining entity linking and labeled LDA to improve topic interpretability and evaluability
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
Malaysian Chinese folk beliefs on Facebook based on LDA topic modelling
Career Recommendations Using Supervised Latent Dirichlet Allocation
Evolution of research topics in LIS between 1996 and 2019: an analysis based on latent Dirichlet allocation topic model
Evolution of research topics in LIS between 1996 and 2019: an analysis based on latent Dirichlet allocation topic model
Twitter author topic modeling : comparative and classifactory topic analysis using latent Dirichlet allocation
Detecting latent topics and trends in blended learning using LDA topic modeling
Intelligent radar software defect classification approach based on the latent Dirichlet allocation topic model
Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework
PICF-LDA: a topic enhanced LDA with probability incremental correction factor for Web API service clustering
Entities as topic labels : improving topic interpretability and evaluability combining Entity Linking and Labeled LDA
Entities as topic labels : combining entity linking and labeled LDA to improve topic interpretability and evaluability
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
Malaysian Chinese folk beliefs on Facebook based on LDA topic modelling
Career Recommendations Using Supervised Latent Dirichlet Allocation
Evolution of research topics in LIS between 1996 and 2019: an analysis based on latent Dirichlet allocation topic model
Evolution of research topics in LIS between 1996 and 2019: an analysis based on latent Dirichlet allocation topic model
Twitter author topic modeling : comparative and classifactory topic analysis using latent Dirichlet allocation
Detecting latent topics and trends in blended learning using LDA topic modeling
Intelligent radar software defect classification approach based on the latent Dirichlet allocation topic model
Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework
PICF-LDA: a topic enhanced LDA with probability incremental correction factor for Web API service clustering
Entities as topic labels : improving topic interpretability and evaluability combining Entity Linking and Labeled LDA
Entities as topic labels : combining entity linking and labeled LDA to improve topic interpretability and evaluability
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
Malaysian Chinese folk beliefs on Facebook based on LDA topic modelling
Career Recommendations Using Supervised Latent Dirichlet Allocation
Evolution of research topics in LIS between 1996 and 2019: an analysis based on latent Dirichlet allocation topic model