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基于文本挖掘的中小企业知识产权政策研究——来自中央层面的数据
引用本文:唐恒,高,孙莹琳,肖寒姿.基于文本挖掘的中小企业知识产权政策研究——来自中央层面的数据[J].科技管理研究,2022,42(1):92-100.
作者姓名:唐恒    孙莹琳  肖寒姿
作者单位:江苏大学科技信息研究所,江苏镇江 212013;江苏大学知识产权学院,江苏镇江 212013;江苏大学管理学院,江苏镇江 212013;江苏大学科技信息研究所,江苏镇江 212013
基金项目:开展全国中小企业知识产权政策调查分析报告(国家知识产权局2020-06-23第318号)
摘    要:为了解知识产权政策在中小企业知识产权战略推进工程中的实施情况,基于文本挖掘技术对我国2009—2020年中央层面的中小企业知识产权政策进行分析。首先采用数理统计法和社会网络分析法从宏观角度对政策发文量、发文部门进行梳理分析,其次引入Textrank算法构建政策主题词库,结合UCINET6.0工具进行政策主题和措施分析。研究发现,目前我国中小企业知识产权政策存在针对性需提升、政策合力不够、配套细则有待完善、政策措施配置不均衡等问题,并提出相应建议。

关 键 词:中小企业  知识产权政策  文本挖掘  Textrank  社会网络分析
收稿时间:2021/6/4 0:00:00
修稿时间:2021/6/25 0:00:00

Research on Intellectual Property Policy of Small and Medium-sized Enterprises Based on Text Mining: Data from the Central Level
Tang Heng,Gao Qing,Sun Yinglin,Xiao Hanzi.Research on Intellectual Property Policy of Small and Medium-sized Enterprises Based on Text Mining: Data from the Central Level[J].Science and Technology Management Research,2022,42(1):92-100.
Authors:Tang Heng  Gao Qing  Sun Yinglin  Xiao Hanzi
Institution:(Institute of Science and Technology Information,Zhenjiang 212013,China;School of Intellectual Property,Zhenjiang 212013,China;School of Management,Zhenjiang 212013,China)
Abstract:In order to understand the implementation of intellectual property policy in the intellectual property strategy promotion project of small and medium-sized enterprises, this paper analyzes the intellectual property policy of small and medium-sized enterprises at the central government level from 2 009 to 2 020 based on text mining technology. Firstly, this paper uses mathematical statistics and social network analysis to sort out and analyze the quantity and departments of policy papers from a macro perspective. Secondly, it introduces textrank algorithm to build a policy thesaurus, and combines ucinet6.0 tool to analyze policy topics and measures. The study found that the current intellectual property policy of SMEs in China needs to improve the pertinence, the policy force is not enough, the supporting rules need to be improved, and the allocation of policy measures is not balanced.
Keywords:small and medium-sized enterprises(SMEs)  Intellectual property policy  text mining  Textrank  Social Network Analysis
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