基于文本挖掘的我国科技创新政策量化评价研究

Research on Quantitative Evaluation of Science and Technology Innovation Policy in China Based on Text Mining

本研究基于2014—2019年国家科技创新政策进行文本挖掘,以实现政策的量化评价研究,对政策的高频词、网络性、中心性和小团体进行了直观的量化和列示。文本挖掘方法基于政策原文本进行分析,避免了主观判断带来的偏差。研究结果表明,2014—2019年国家科技创新政策中具有"创新""科技"和"技术"等高频词,文本挖掘结果具有较优的网络集中度,并包含7个核心小团体。国家科技创新政策推动着国家创新事业的发展,并为创新指明方向、提供支持。对政策深度挖掘有助于理解政策背后深层的意义,以指导各主体的创新决策。同时,对政策文本的挖掘有助于从深层次理解和认识政策,为国家及区域、省、市等地政策制定者提供政策决策支持。

This research is based on the text mining of National Science and Technology Innovation(STI)Policy from 2014 to 2019 to achieve the quantitative evaluation of policy research.The high-frequency words,network,centrality and small groups results are listed and quantified directly.The text mining method is based on the analysis of the original policy text to avoid the bias caused by subjective judgment.The results show that there are high frequency words such as"innovation","science and technology"and"technology"in the national science and technology innovation policy from 2014 to 2019.The result of text mining has better network concentration and contains seven core groups.The National Science and Technology Innovation Policy promotes the development of the national innovation,points out the direction and provides the support for the innovation.In-depth policy mining helps to understand the deep meaning behind the policy to guide the main innovative decision-making.At the same time,the policy text mining helps to understand the policy from a deep level,and provides policy-making support for national and regional,provincial and municipal policy-makers.