초록 열기/닫기 버튼
The purpose of this study is to collect posts about Jeju Olle Trail uploaded to blogs and cafes (Naver, Daum) and to understand the perception and the behavior of Jeju Olle Trail users. After collecting posts with the keyword "Jeju Olle" using Textom, CONCOR analysis was performed using word cloud, N-gram, 2-way word tree, and Ucinet (ver.6.0). As a result of word cloud analysis, static words such as 'cafe, restaurant, drive course, hotel' showed high frequency in 2019, and dynamic words such as 'walk, road, pension' showed high frequency in 2020 and 2021. In particular, it was characterized by a high frequency of words related to small lodging facilities such as pensions. As a result of N-gram and 2-way word tree analysis, it was found that the frequency of crowded places has decreased, while the frequency of little-known places with fewer people has increased. As a result of the CONCOR analysis, words such as 'accommodation recommendation, one of the best' grouped together, which shows the behavior of people visiting places recommended by other people, before COVID-19, whereas lesser-known places such as 'Onpyeong-ri, Samdali, and Nandr' grouped together after COVID-19. In conclusion, the study is intended to provide basic data for tourism policies to revitalize Jeju Olle Trail in the post-COVID-19 er
키워드열기/닫기 버튼
Jeju Olle-trail, Text-mining, Covid-19
