관광지재생과 관광지이미지 변화 연구

A Study on the Tourism Destination Regeneration and the Change of Destination Image: focusing on Text Mining

The purpose of this study is to analysis of changing destination image about tourism destination regeneration by using text mining. For this, this study collected data containing ’Jeonju hanok village’ keywords from blogs, news and webpages on Naver, Daum, Twitter and Facebook during twelve years, 2007 through 2018. Data were collected by using TEXTOM, a data collecting and processing program and from those data, density, degree centrality were analyzed by utilizing packaged NetDraw along with UCINET. As a result of the analysis, the amount of positive data increased steeply after the urban regeneration. it was found that the Image of tourism destination regeneration was improved. Based on the results of this analysis, the following implications are suggested. this study has expanded methodologies used in the tourism field. The main limitation of this study is that the subject of the research was limited to blogs and cafés based on the Korean portal site Naver, Daum and Google. This online data collects in targeting only Korean, it can’t generalize too much except other target. Second, It is difficult to generalize as the research is conducted around Jeonju Hanok Village. In future research, it is deemed necessary to check the change in perception caused by the tourism regeneration more comprehensively.