Authors - Vu Nguyen, Chau Vo Abstract - Artificial intelligence (AI) offers powerful capabilities for understanding stakeholder perceptions of corporate sustainability initiatives. This study investigates how AI‑driven sentiment analysis can support sustainable business decision‑making by analyzing secondary data from social media platforms, online re-views, and ESG reports. Using advanced text mining and trans-former‑based sentiment classification techniques, the research identifies patterns in public opinion regarding environmental, social, and governance practices across industries. Topic modeling is applied to detect emerging sustainability themes, while sentiment trend analysis provides actionable insights for improving stakeholder engagement and brand reputation. The findings reveal how organizations can leverage real‑time sentiment data to guide strategic investments, enhance communication strategies, and strengthen commitment to green practices. By integrating AI‑based natural language processing with sustainability management, this research contributes to evidence‑based decision‑making frameworks that enable businesses to respond effectively to societal expectations and achieve long‑term competitive and environ-mental advantages.
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