Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model
Lin Zhu, Scott W. Cunningham
| Year of publication: |
2022
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|---|---|
| Authors: | Lin, Zhu ; Cunningham, Scott W. |
| Published in: |
Technological forecasting & social change : an international journal. - Amsterdam : Elsevier, ISSN 0040-1625, ZDB-ID 280700-2. - Vol. 174.2022, p. 1-26
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| Subject: | Historical trends | Machine learning | Technological forecasting | Topic models | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Technischer Fortschritt | Technological change | Sozialer Wandel | Social change | Technologievorausschau | Technology foresight |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2021.121277 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013206101