中圖分類號： TP301 文獻(xiàn)標(biāo)識碼： A DOI：10.16157/j.issn.0258-7998.212224 中文引用格式： 孫璐,，薛強，張金言,，等. 基于自然語言理解的軟件產(chǎn)業(yè)政策關(guān)聯(lián)性分析技術(shù)[J].電子技術(shù)應(yīng)用,，2021,，47(12)：57-63. 英文引用格式： Sun Lu，Xue Qiang,，Zhang Jinyan,，et al. Relevance analysis technology of software industry policy based on nature language understanding[J]. Application of Electronic Technique，2021,，47(12)：57-63.
Relevance analysis technology of software industry policy based on nature language understanding
Sun Lu1，Xue Qiang2,，Zhang Jinyan3,，Liu Wei1，Sui Guobin3,，Cao Yang2,，Li Xiang2
1.National Industrial Information Security Development Research Center，Beijing 100040,，China,； 2.CETC Big Data Research Institute Co.，Ltd.,，Guiyang 550022,，China； 3.Global Tone Communication Technology Co.,，Ltd.,，Beijing 100040，China
Abstract： The analysis of public policy is vitally significant in administrative study. With the wide application of deep learning and knowledge graph, any effort to improve technique method in this area is likely to be of great benefit. Therefore, applying nature language understanding and other technology in industrial policy research is conducive, and will be critical to policy formulation and management. This article proposes a set of technical analysis method for software industry policy, aiming at constructing the relational relationship network among policies to assist government decision-making.
Key words : policy correlation analysis,；knowledge graph,；nature language understanding
