An integrated latent Dirichlet allocation and Word2vec method for generating the topic evolution of mental models from global to local
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Title
An integrated latent Dirichlet allocation and Word2vec method for generating the topic evolution of mental models from global to local
Authors
Keywords
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Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 212, Issue -, Pages 118695
Publisher
Elsevier BV
Online
2022-08-31
DOI
10.1016/j.eswa.2022.118695
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Related references
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- A topic model for co-occurring normal documents and short texts
- (2017) Yang Yang et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
- Topic evolution based on the probabilistic topic model: a review
- (2017) Houkui Zhou et al. Frontiers of Computer Science
- Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval
- (2017) Baitong Chen et al. Journal of Informetrics
- Mental models: a basic concept for human factors design in infection prevention
- (2015) H. Sax et al. JOURNAL OF HOSPITAL INFECTION
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- (2013) Sara McComb et al. JOURNAL OF ADVANCED NURSING
- Semantic smoothing for text clustering
- (2013) Jamal A. Nasir et al. KNOWLEDGE-BASED SYSTEMS
- A comprehensive method for comparing mental models of dynamic systems
- (2010) Martin Schaffernicht et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
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