本文在梳理概括了国内外专利文本挖掘技术研究进展基础上，探索建立一种基于对专利文本中特定动宾（AO）结构进行挖掘分析的专利功能分析方法。，并通过专利功能的定义、提取和分析将专利技术与相关产业进行对接，实现了从专利文本中识别产业化的潜在领域。更为重要的是，本文提出了描述专利技术功能效用的S曲线和S指数，完善和改进了专利技术产业化适用性量化评价模型，并定义了该模型中的S指数、专利功能的绝对重要性指数（AI）和专利功能的相对重要性指数（RI）三个指标。最后，以具备“reduce PM2.5”功能的专利为例，验证了基于专利功能分析的专利技术产业化适用性评价模型的可行性，为中国专利技术产业化路径选择提供了新思路。

This research is constructed on the theoretical basis of text mining technology and explores to establish a patent function analysis approach which mainly focuses on the specific Action-Object structure in patent text documents after summarizing research progress in patent text mining home and abroad. This research has realized to identify potential field of patent technology industrialization from patent text documents through defining, extracting and analyzing patent function so that to connect patent with real industry. Importantly, this research presents the S-curve and S-index of patent technology function efficacy and improves the evaluation model of patent technology industrialization applicability by defining the three evaluating indexes which are S-index, Absolute Importance of the Function (AI) and Relative Importance of the Function (RI). Finally, this research takes patents that bear the function of “reduce PM2.5” as an example to verify the feasibility and significance of the approach which helps to identify and evaluate patent technology industrialization by patent function analysis and thus provides a new thinking on the path choice of patent technology industrialization in China.