Abstract: Policy responsiveness reflects national governance capabilities and governance levels. This study applies political system theory as an analytical framework, integrating the subject, time, quantity, and hierarchical characteristics of opinion texts and policy texts. It extracts four indicators-response rate, response effectiveness, response enthusiasm, and response efficacy-and develops a policy responsiveness measurement model. The analysis calculates the policy responsiveness in the field of scientific and technological talent evaluation in China from 2002 to 2022. By examining themes, it identifies the development and changing characteristics of policy responsiveness and uses the theme of "How to Evaluate" as a case study to explore the specific content of policy responses. The findings demonstrate that the policy responsiveness measurement model quantifies policy responsiveness effectively and reveal a shift in China's evaluation of S&T talents from selective responsiveness to comprehensive responsiveness, and from delayed responsiveness to high-quality responsiveness. This study enriches the methods for measuring policy responsiveness, reduces the influence of subjective factors, and enhances both the theoretical depth and practical application of the research.

Key words: Policy responsiveness, Text features, Text mining, Scientific and technological talent evaluation, Political system theory