Text Analysis of Cross-border E-commerce Policy Based on Co-word Clustering Method: A Case Study of Gansu Province
Wang, Yuzhen1; Li, Jiaru1
2020-06-02
会议名称2020 5th International Conference on Intelligent Computing and Signal Processing, ICSP 2020
会议录名称Journal of Physics: Conference Series
卷号1544
期号1
会议日期2020-03-20 - 2020-03-22
会议地点Suzhou, China
出版者IOP Publishing Ltd
摘要

Taking the cross-border e-commerce policy texts introduced in the past five years as the research object, the co-word clustering method is used to divide the policy texts into four categories, and the content is analyzed based on the theory of the ecosystem. The study found that Gansu Province currently has unbalanced cross-border e-commerce policy structures, insufficient specific policies issued by prefecture-level city governments, and weak linkages among government departments in issuing policies. Therefore, the relevant departments need to further improve the cross-border e-commerce policy in response to the above issues, so as to promote the high-quality development of cross-border e-commerce in Gansu Province. © 2019 Published under licence by IOP Publishing Ltd.

关键词Cluster analysis Computation theory Electronic commerce Intelligent computing Cross-border Gansu province Government departments High quality Policy-based Research object Text analysis Word clustering
DOI10.1088/1742-6596/1544/1/012008
收录类别EI ; SCOPUS
语种英语
EI入藏号20202508834873
文献类型会议论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/9665
专题信息工程与人工智能学院
作者单位1.School of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou, Gansu;
2.730020, China
推荐引用方式
GB/T 7714
Wang, Yuzhen,Li, Jiaru. Text Analysis of Cross-border E-commerce Policy Based on Co-word Clustering Method: A Case Study of Gansu Province[C]:IOP Publishing Ltd,2020.
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