In response to the problem that the current research on the effectiveness of China’s intangible cultural heritage protection policies mainly relies on qualitative analysis and lacks a systematic quantitative evaluation framework, this study constructs a policy effectiveness quantitative evaluation system that integrates text mining and PMC index models. Using 324 national and local intangible cultural heritage policy texts from 2005 to 2023 as samples, a standardized corpus is constructed using Python crawling and preprocessing techniques; Propose a composite mining framework that combines BERT semantic embedding with LDA topic modeling to extract deep policy semantics and topic structures; Based on 13 indicators from five dimensions including policy goal orientation, policy tools, implementation effectiveness, content innovation, and coordination ability, the PMC index model is used to conduct multidimensional quantitative evaluation. The results indicate that the intangible cultural heritage policy, with “protection and inheritance” as its core semantics, presents a dual track evolution feature of “technological empowerment+social collaboration”; LDA identifies five core themes: heritage conservation, digitization, public participation, industrial innovation, and cross regional collaboration; There are significant hierarchical differences in policy effectiveness, with national policies outperforming local policies in terms of implementation efficiency and coordination ability. The PMC index of the 14th Five Year Plan for the Protection of Intangible Cultural Heritage is the highest (4.125), while local policies are constrained by resources and have weaker tool allocation and innovation dimensions.
