Abstract: 【Purpose/significance】This study uses the LDA-PMC model to quantitatively analyze the implementation effectiveness of China's data element policy and to propose optimization suggestions. With the rise of data as a new production factor, the study aims to assess the current policies' role in promoting the data element market and their associated issues.【Method/process】Firstly, the LDA model is used to extract the latent topic structures from the policy texts. Core issues of the policies are revealed through word fre⁃ quency analysis. Then, combined with the PMC index model, the overall effect of selected representative policies is quantitatively evaluated, and their performance in aspects like content, implementation and coverage is analyzed.【Result/conclusion】The study finds that policies in developed regions, such as Beijing, Shanghai, and Guangdong, have shown outstanding performance in promoting market-oriented data allocation, especially in areas like data ownership, circulation, and security. However, policies in underdevel⁃ oped regions, such as Xinjiang, show weaker implementation effects and require improvements in policy enforcement and market infra⁃ structure.【Innovation/limitation】This study innovatively combines the LDA and PMC models, filling the gap between thematic analy⁃ sis and the quantitative assessment of policy effectiveness. However, the sample period is relatively short, and future research could ex⁃ pand the sample size and introduce more evaluation dimensions to enhance the comprehensiveness and accuracy of the analysis.