Research on the Path of Digital Intelligence Technology to Empower Public Collaborative Governance of Environmental Protection: A Text-based Empirical Analysis

Based on the perspective of digital intelligence governance, this study uses social media comments as the database, uses text mining, sentiment analysis and grounded theory to identify the key factors affecting environmental collaborative governance, and constructs a public collaborative governance model based on activity theory. The results show that public emotional tendencies and governance issues can jointly affect the improvement of environmental governance efficiency through the interaction between the six elements of subject, object, tool, rule, community and division of labor in the activity theory model. The research results provide theoretical support and practical reference for enhancing the effectiveness of public participation in environmental governance.