Abstract: 【Purpose/significance】As a key link in the construction of digital villages,the development of public cultural services re⁃ quires the support of an effective policy system.The quantitative evaluation of digital rural public cultural service policies can provide a more solid academic reference for the formulation and optimization of digital rural public cultural service policies【. Method/process】 The study uses text mining technology and PMC index model to build a digital rural public cultural service policy evaluation index sys⁃ tem, which includes 10 first-level variables and 40 second-level variables. Secondly, it conducts an empirical analysis of 12 policy samples, calculates the PMC index, and draws the PMC surface【. Result/conclusion】The results indicate that China’s digital rural pub⁃ lic cultural service policies have a generally good overall situation and are reasonably designed,but there are still the following short⁃ comings: weak policy foresightedness, insufficient incentive strength, inadequate coordination among policy subjects, and the policy evaluation system needs to be improved.This article puts forward relevant suggestions.【Innovation/limitation】This article uses text mining and statistical knowledge to analyze policy texts of digital rural public cultural services and innovatively combines the PMC in⁃ dex model to quantitatively evaluate the content of the policy text.Future research needs to further explore the implementation effect of policies