Abstract
The purpose of this study is to analyze the changes in perceptions of Korea tourism in Chinese tourists before and after the THAAD using Big Data. For this purpose, we analyzed Co-word frequency analysis and Semantic network analysis before and after the THAAD. Co-word frequency analysis showed that the word of Korea, free and Seoul are decreased, and attraction, China and problem are increased. The results of the Semantic network analysis showed that before THAAD, the top keywords were free and travel site which are highly related with korea, but after THAAD the top keywords were China and problem. CONCOR analysis also revealed specific clusters such as tourism environment, activities and tourist information before the THAAD. However, after the THAAD, the clusters that were not formed before the THAAD, such as visa and cost were newly appear. This study provides the tourism perception is related not only to tourism information but also to various social and environmental factors. Therefore, it is necessary to have broader and broader perspective and approach in establishing policy and practical strategy.
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