Abstract: 【Purpose/significance】Elderly individuals face barriers in accessing and utilizing technology in the digital era, impeding their ability to fully benefit from digital services. Achieving digital inclusion for the elderly population is a critical objective and press⁃ ing challenge in realizing active aging and the Digital China strategy. Analyzing the characteristics and thematic evolution of existing digital inclusion policies for the elderly can provide valuable reference for policy refinement.【Method/process】Using Python text min⁃ ing technology, the characteristics and theme evolution trend of digital inclusion policy for the elderly were extracted based on LDA and DTM models, respectively.【Result/conclusion】At present, the content of China's digital inclusion policy for the elderly covers a wide range of social aspects, but the use of policy tools is uneven, which affects the sustainability of the policy. The main content of the policy in the exploratory period is the promotion of digital adaptation for the elderly, the policy in the integration period focuses on the full integration of the elderly in the digital society, and the special policies and services are launched according to specific needs in the refinement period. It is suggested that the implementation of policies should be balanced, a balanced structure for the use of policy tools should be established, and countermeasures and suggestions should be dynamically matched to the needs of the elderly group. 【Innovation/limitation】This study conducts static analysis and dynamic evolution tracking of digital inclusion policies for the elderly, broadening and deepening the research scope in this field. Building upon McDonnell's five-category framework, we propose a more re⁃ fined classification method for policy instruments regarding digital inclusion for the elderly. However, limitations exist in this study, particularly the lack of comparative analysis on policy theme evolution across different regions.