텍스트 마이닝을 통한 WTO 분쟁 연구 분석

초록

As the scope of trade disputes expands into various areas such as digital and security issues, the need for a more systematic analysisof research topics and trends has increased. However, there is a lack of quantitative analyses on trade dispute-related research topicsand 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 indicatethat domestic research on WTO disputes has expanded from traditional trade conflict topics to include normative conflicts related todigital and security issues. Moreover, the research tends to focus on country-specific characteristics and event-driven analyses. The findingsof this study offer analytical insights into the research trends and key themes in the field of trade disputes, thereby contributing to futureresearch.

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