A Text Mining Analysis of Research on WTO Disputes 


Vol. 14,  No. 12, pp. 1058-1064, Dec.  2025
10.3745/TKIPS.2025.14.12.1058


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  Abstract

As the scope of trade disputes expands into various areas such as digital and security issues, the need for a more systematic analysis of research topics and trends has increased. However, there is a lack of quantitative analyses on trade dispute-related research topics and trends in domestic studies. This study aims to analyze the major research themes and trends in WTO (World Trade Organization) disputes using text mining techniques. Specifically, TF-IDF, Word2Vec, and keyword network analysis are employed. The results indicate that domestic research on WTO disputes has expanded from traditional trade conflict topics to include normative conflicts related to digital and security issues. Moreover, the research tends to focus on country-specific characteristics and event-driven analyses. The findings of this study offer analytical insights into the research trends and key themes in the field of trade disputes, thereby contributing to future research.

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[IEEE Style]

J. S. Jun, K. K. Yeul, K. J. Hie, "A Text Mining Analysis of Research on WTO Disputes," The Transactions of the Korea Information Processing Society, vol. 14, no. 12, pp. 1058-1064, 2025. DOI: 10.3745/TKIPS.2025.14.12.1058.

[ACM Style]

Jang Seo Jun, Kim Kyung Yeul, and Kim Ji Hie. 2025. A Text Mining Analysis of Research on WTO Disputes. The Transactions of the Korea Information Processing Society, 14, 12, (2025), 1058-1064. DOI: 10.3745/TKIPS.2025.14.12.1058.

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