earticle

영어

The objective of this study is to analyze international trade relation between Korea and China using text mining and SNA(Social Network Analysis) for the three Covid 19 years from 2019 to 2021. For the analysis, text mining analysis was conducted through keywords ‘China Export’ and ‘China Import’. And then, key issues were analyzed by using keyword frequency analysis. Finally, we analyzed centrality tests such as the degree centrality, eigenvector centrality, and the convergence of iteration correlation (CONCOR) using the social network analysis. As a result, Korea seems to show the most interest in internal and external trade risks in relation to Chinese imports and exports as it is highly dependent on China.