Machine learning for sustainable investing: Current applications and overcoming obstacles in ESG analysis

Xiaqi Liang

doi:10.54254/2755-2721/29/20230894

Article Information

Received: 18 December 2023

Published: 26 December 2023

DOI: https://doi.org/10.54254/2755-2721/29/20230894

Article Type: Research Article

Cite this article

Liang,X. (2023). Machine learning for sustainable investing: Current applications and overcoming obstacles in ESG analysis. Applied and Computational Engineering,29,79-83.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About this Volume

Volume Title: ACE Vol.29

Part of Series: Applied and Computational Engineering

ISSN: 2755-2721 (Print) / 2755-273X (Online)

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