Description
Stakeholder sentiment reporting uses machine learning to analyze and assess stakeholder reactions to corporate governance decisions. This involves collecting data from various channels—such as news articles, social media, shareholder communications, and public statements—and using natural language processing (NLP) algorithms to measure sentiment trends. By leveraging this analysis, organizations can gain insights into how stakeholders perceive their decisions, enabling them to make informed adjustments and maintain trust.
