AI-Driven Research on the Current Situation Survey and Organizational Profiling of Disability Support Non-Governmental Organizations in Quanzhou

This study adopts an AI-driven framework to examine the current situation and organizational profiling of disability support Non-Governmental Organizations (NGOs) in Quanzhou, China. By integrating Natural Language Processing (NLP), Knowledge Graphs (KGs), and unsupervised learning methods, the research constructs a text–structure integrated dataset to identify service patterns, stakeholder relations, and organizational typologies. Results reveal three main NGO types—community-based rehabilitation, education and employment support, and advocacy alliances—and uncover disparities in policy engagement and resource access. The study advances methodological integration of AI in social sector analysis and provides evidence-based insights for improving the effectiveness and governance of local disability support systems.