Data Mining in Environmental, Social, Governance (ESG) Analysis:  An Overview

Ali Fuseini; Nana Kweku Nkyekyer; Kelvin Kojo Bennin; Richard Essah

doi:10.9734/ajrcos/2025/v18i2560

Research Article Open access CC BY 4.0

Data Mining in Environmental, Social, Governance (ESG) Analysis: An Overview

Ali Fuseini, Nana Kweku Nkyekyer, Kelvin Kojo Bennin, Richard Essah

Asian Journal of Research in Computer Science · pp. 46–49 · Published 28 Jan 2025

10.9734/ajrcos/2025/v18i2560

Abstract

ESG (environmental, social, and governance) considerations are now essential standards for evaluating the ethical and sustainable effects of investments. This study examines data mining's use in ESG analysis, emphasizing how it may be used to glean useful insights from sizable and varied datasets. It looks at data mining techniques, resources, and applications for trend identification, ESG compliance assessment, and decision support. Future directions, ethical issues, and difficulties in incorporating cutting-edge technologies into ESG analysis are also covered.

ESG analysis data mining sustainability environmental performance social equity governance transparency machine learning text mining clustering algorithms predictive predictive modeling sentiment analysis big data standardization of ESG metrics real-time ESG monitoring IOT in ESG blockchain for governance ESG reporting sustainable investments anomaly detection greenwashing

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Ali Fuseini, Nana Kweku Nkyekyer, Kelvin Kojo Bennin, Richard Essah (2025). Data Mining in Environmental, Social, Governance (ESG) Analysis: An Overview. Asian Journal of Research in Computer Science , 46–49. https://doi.org/10.9734/ajrcos/2025/v18i2560

Affiliations

Ali Fuseini — Computer Science Department, Takoradi Technical University, Ghana.
Nana Kweku Nkyekyer — Computer Science Department, Takoradi Technical University, Ghana.
Kelvin Kojo Bennin — Computer Science Department, Takoradi Technical University, Ghana.
Richard Essah — Computer Science Department, Takoradi Technical University, Ghana.

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