빅데이터를 활용한 사드 배치 전후 중국관광객의 한국관광 인식 변화 비교: 의미 연결망 분석을 중심으로

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 travel' 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 travel' 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.