Machine-learning-based deep semantic analysis approach for forecasting new technology convergence
Tae San Kim, So Young Sohn
| Year of publication: |
2020
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|---|---|
| Authors: | Kim, Tae San ; Sohn, So Young |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 157.2020, p. 1-10
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| Subject: | Technology convergence | Link prediction analysis | Patent analysis | Semantic analysis | Text mining | Prognoseverfahren | Forecasting model | Patent | Semantisches Web | Semantic web | Technischer Fortschritt | Technological change | Text | Data Mining | Data mining |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2020.120095 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012515087