Identifying convergence fields and technologies for industrial safety : LDA-based network analysis
Year of publication: |
2019
|
---|---|
Authors: | Song, Bomi ; Suh, Yongyoon |
Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 138.2019, p. 115-126
|
Subject: | Convergence network | Latent Dirichlet allocation (LDA) | Patent analysis | Safety field | Safety technology | Patent | Technischer Fortschritt | Technological change | Arbeitsschutz | Occupational safety | Theorie | Theory | Wirtschaftliche Konvergenz | Economic convergence |
-
Song, Chie Hoon, (2017)
-
Machine-learning-based deep semantic analysis approach for forecasting new technology convergence
Kim, Tae San, (2020)
-
Yun, Junghwan, (2019)
- More ...
-
Assessing the risks of service failures based on ripple effects : a Bayesian network approach
Song, Bomi, (2013)
-
Lee, Changyong, (2013)
-
Kang, Daekook, (2015)
- More ...