A Study on Urban Regeneration Policy Using Corpus Analysis : Gamcheon Culture Village Tourism Promotion Plan

The activation of big data analysis is useful in various fields, such as marketing and demand forecasting of companies, but there are a few studies, in the policy evaluation of public institutions. This research is an exploratory study intended to integrate big data analysis technology into the evaluation of urban revitalization policies, and the research aims to propose policies for tourism facilitation in Gamcheon Culture Village. To this end, a total of 1,503 review texts, posted on Google Maps, on Gamcheon Culture Village were collected through web scraping. Among them, 1,405 cases were used as analytical data—except for 98 reviews written in languages other than Korean, Chinese, or English. Thereafter, to extract TF-IDF(Term Frequency-Inverse Document Frequency) values, corpus analysis was performed after carrying out morpheme analysis. The implications for tourism policies were presented by grafting the experience economic theory of the tourism industry onto the results of the corpus analysis. This study is meaningful, as it is an initial study that derived the result that aggregated the core perceptions of visitors according to their tourism experiences through the big data analysis of tourism policy reviews beyond the limitations of existing survey methods.