What semantic analysis can tell us about long term trends in the global STI policy agenda
Leonid Gokhberg, Dirk Meissner, Ilya Kuzminov
| Year of publication: |
2023
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|---|---|
| Authors: | Gochberg, Leonid Markovič ; Meissner, Dirk ; Kuzminov, Ilya |
| Published in: |
The journal of technology transfer. - Dordrecht [u.a.] : Springer Science + Business Media B.V, ISSN 1573-7047, ZDB-ID 2017817-7. - Vol. 48.2023, 6, p. 2249-2277
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| Subject: | Big data analysis | Evidence based policy | International policy agenda | OECD Working Party on Technology and Innovation Policy | Science policy | Semantic analysis | Technology and innovation policies | Text mining | Technologiepolitik | Technology policy | OECD-Staaten | OECD countries | Technischer Fortschritt | Technological change | Big Data | Big data | Welt | World | Data Mining | Data mining |
| Description of contents: | Description [link.springer.com] |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10961-022-09959-5 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014457850