Abstract: 【Purpose/significance】How to effectively analyze massive S&T policy texts is a key issue on reusing government S&T re⁃sources and supporting scientific decision-making in the era of big data. It is necessary to expand the functions of fine-grained data processing and deep analysis in current policy service platforms.【Method/process】Based on the demand of policy analysis service,this paper designs a text analysis model for policy quantitative research and puts forward an analysis method of external features and content elements for policy texts. This paper developed a service platform for S&T policy analysis which supports users to analyze S&T policies in the target field of policy promulgation characteristics, policy layout, policy tools, hot spots evolution, policy derivation and institutional cooperation relations.【Result/conclusion】Service effects of this platform are verified by taking analysis results of big data policies as an example. This paper provides a practical reference for the transformation to services of supporting in-depth analysis
and scientific decision of policy service platforms.【Innovation/limitation】The framework of S&T policy service platform for policy quantitative analysis is proposed in this paper. However, platform services need to be further improved in multi-source data fusion and in-depth analysis.