日韓相互コンテンツ　ツ リズムの比較研究 ―― テキストマイニングを用いて

Abstract

This study examined the trends in content tourism between Korea and Japan, which has increased rapidly since COVID19, through text mining analysis. In summarizing the current status and characteristics of tourism and of related trends identified in previous studies, text mining targets included Korean animation-related pilgrimages to Japan and Japanese visits to Korean drama locations. Because the two languages are involved, conventional platforms and tools of analysis could not be used, so data were obtained through forms of pre-processing such as morpheme analysis, terminology processing, and synthetic processing, which were performed in TEXTOM in Korean and in KHcoder in Japanese.</br>As a result, in relation to Koreans’ pilgrimage to Japanese animation, it was confirmed that they were overwhelmingly positive in emotional analysis and their willingness to stay long-term through working holidays or becoming exchange students. It was also clear that the younger generation, which is familiar with popular animation culture, was taking the lead in this respect, although it was difficult to identify gender. In contrast, in the Japanese pilgrimages to Korean drama locations, it emerged that equivalent words and phrases which would indicate an openness to an extended stay in Korea do not appear, and that such visits are led by women over a certain age who aren’t inclined toward long-term time abroad. This variation is also related to the fact that “study,” which appears as a frequent word among both groups, exclusively denotes studying the Japanese language among the Koreans, while for the Japanese, it denotes diverse studies in the Korean language, culture, history and customs. In addition, in terms of the places related to contents tourism, Tokyo is the most common among Koreans visiting Japan, but regional and large cities such as Osaka and Kyoto also appear, while Japanese visitors are concentrated in Seoul to a remarkable degree.