Open-source data-driven prediction of environmental, social, and governance (ESG) ratings using deep learning techniques
Hye Lim Lee, Jin Ho Hwang, Do Yeol Ryu, Jong Woo Kim
| Year of publication: |
2025
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| Authors: | Lee, Hye Lim ; Hwang, Jin Ho ; Ryu, Do Yeol ; Kim, Jong Woo |
| Published in: |
Intelligent systems in accounting, finance & management. - New York, NY [u.a.] : Wiley, ISSN 2160-0074, ZDB-ID 2379344-2. - Vol. 32.2025, 1, Art.-No. e70003, p. 1-24
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| Subject: | corporate sustainability | ESG rating | Korea | NLP | organizational legitimacy | text mining | Corporate Social Responsibility | Corporate social responsibility | Nachhaltige Kapitalanlage | Sustainable investment | Umweltmanagement | Environmental management | Data Mining | Data mining | Bewertung | Evaluation | Südkorea | South Korea | Legitimität | Legitimacy |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/isaf.70003 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015332640