Predicting ESG Ratings by Machine Learning and Analyzing Influencing Factors by XAI-Reference-Cited by-同舟云学术

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Predicting ESG Ratings by Machine Learning and Analyzing Influencing Factors by XAI

Published:2024-01-23 Issue: Volume:97 Page:120-125
ISSN:
Container-title:Proceedings of the 2024 7th International Conference on Software Engineering and Information Management
language:
Short-container-title:

Author:

Choi Jeong-Cheol¹^ORCID,Chen Qiuying¹^ORCID,Lee Sang-Joon²^ORCID

Affiliation:

1. Interdisciplinary Program of Digital Future Convergence Service, Chonnam National University, South Korea

2. School of Business Administration, Chonnam National University, South Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647722.3647742

Reference27 articles.

1. Why is corporate virtue in the eye of the beholder? The case of ESG ratings;Christensen D.;The Accounting Review,2022

2. Corporate Social Responsibility and Shareholder Reaction: The Environmental Awareness of Investors

3. J. Martto, S. Diaz, B. Hassan, S. Mannan, P. Singh, F. Villasuso, and O. Baobaid, "ESG Strategies in the Oil and Gas Industry from the Maritime & Logistics Perspective - Opportunities & Risks," in ADIPEC, 2023.

4. The New Growth Model and Economic Policy Platform;Djuricin D.;Cadmus,2020

5. T. Aue, A. Jatowt, and M. Färber, "Predicting Companies’ ESG Ratings from News Articles Using Multivariate Timeseries Analysis," 2022.

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