基于文本信息挖掘的物流政策透视研究  

Perspective Research on Logistics Policies Based on Text Information Mining

作　　者：陈丽[1] 汪传雷[2] 钱文俊 CHEN Li;WANG Chuanlei;QIAN Wenjun(Harbin Institute of Technology, Harbin 150006;Department of Logistics, School of Business, Anhui University, Hefei 230601;Logistics and Supply Chain Research Center of Anhui University, Hefei 230601)

机构地区：[1]哈尔滨工业大学,黑龙江哈尔滨150006 [2]安徽大学商学院物流系,安徽合肥230601 [3]安徽大学物流与供应链研究中心,安徽合肥230601

出　　处：《常州工学院学报》2021年第2期41-46,共6页Journal of Changzhou Institute of Technology

基　　金：安徽省哲学社会科学项目(AHSKF2018D58);国家级大学生创新创业训练计划项目(20191035727)。

摘　　要：近年来,物流行业加速进入“互联网+”的新时代,国家及各地方政府部门发布政策以支持物流行业可持续发展。文章采集了2014年7月到2020年2月中国政府网新闻栏目发布的物流政策文本,运用Python软件进行文本挖掘,并运用分词功能提炼关键词。从截面序列和时间序列角度,结合政策发布单位、政策文本类型、政策工具、政策内容维度分析物流政策情况,进而提出推进政策协同度、强化执行监管度、完善基础设施匹配度、明确对象指向度等高质量物流行业政策的建议。In recent years,the logistics industry has accelerated to the new era of“Internet Plus”.The state and local government departments have also issued policies to support the sustainable development of the logistics industry.The logistics policy text released by the news column of the Chinese government website from July 2014 to February 2020 is collected,and then the python software is used to conduct the text mining and the word segmentation function of the python tool is used to abstract keywords.From the perspective of cross-section series and time series,and combining the policy releasing units,types of policy texts,policy tools and policy contents,the logistics policies are analyzed so as to put forward suggestions for high-quality logistics industry policies,including promoting policy coordination,strengthening the supervision of implementation,improving the matching degree of infrastructure,clarifying the target orientation and so on.

关 键 词：文本挖掘 物流政策 政策文本量化 

分 类 号：F713[经济管理—产业经济]