Understanding public opinion towards ESG and green finance with the use of explainable artificial intelligence

• Main Authors: van der Heever, Wihan, Satapathy, Ranjan, Park, Ji Min, Cambria, Erik
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2025
• Subjects: Computer and Information Science; Aspect-based sentiment analysis; Climate change
• Online Access: https://hdl.handle.net/10356/182164
• Institution: Nanyang Technological University

This study leverages explainable artificial intelligence (XAI) techniques to analyze public sentiment towards Environmental, Social, and Governance (ESG) factors, climate change, and green finance. It does so by developing a novel multi-task learning framework combining aspect-based sentiment analys...