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| Quantitative Research on China Cross-border E-commerce Policies Based on Text Mining |
| SHI Hanxiao, MAO Yuxin |
| School of Management and E-Business, Zhejiang Gongshang University |
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Abstract: Recently, the cross-border e-commerce policies in China contain a lot of important information that guides the development of cross-border e-commerce. The information is of great significance to regional governments and enterprises to plan cross-border e-commerce development. In order to overcome the inadequacy of the existing cross-border e-commerce policy research, we propose to use the text mining approach to carry out quantitative analysis and research on the cross-border e-commerce policy. We try to extract the feature from the policy documents and use some clustering algorithm to cluster the features. Based on the clustering results, we try to analyze and find out the key points of the cross-border e-commerce policy, mainly including intellectual property, taxation, products and so on. At the same time, the relationship between key points of the policies is also investigated and displayed through semantic network analysis.
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Received: 20 June 2022
Published: 15 November 2022
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2022, Vol. 42 
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