A study on domestic residents’ experiential tourism in Jeju Island: Focusing on social big data analysis

This study aims to understand the types and perceptions of Jeju Island experiential tourism through big data analysis. To achieve the purpose of the study, “Jeju Island experiential tourism” was selected as a keyword, and 'Textom' was used. Over a period of three years, from January 20, 2022, to January 19, 2025, 100 keywords were analyzed using word frequency analysis and TF-IDF analysis, based on data collected from Naver, Daum, and Google. As a result of the analysis, in order of frequency, the top six keywords were identified as tourist destinations, courses, recommendations, horseback riding, children, and tangerines. Through CONCOR analysis, four patterns were derived: 'dynamic experiential tourism', 'static experiential tourism', 'policy and support', and 'experience content development'. The sentiment analysis revealed positive words were prevelant. These results are expected to provide basic data for establishing policies related to experiential tourism in Jeju Island.

Publication Details

Journal
Journal of MICE & Tourism Research
Published
2025-08-31
DOI
https://doi.org/10.35176/jmtr.25.3.5
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

A study on domestic residents’ experiential tourism in Jeju Island: Focusing on social big data analysis

Journal of MICE & Tourism Research
Geochemistry and Geologic Mapping
article

A study on domestic residents’ experiential tourism in Jeju Island: Focusing on social big data analysis

article en

Abstract

This study aims to understand the types and perceptions of Jeju Island experiential tourism through big data analysis. To achieve the purpose of the study, “Jeju Island experiential tourism” was selected as a keyword, and 'Textom' was used. Over a period of three years, from January 20, 2022, to January 19, 2025, 100 keywords were analyzed using word frequency analysis and TF-IDF analysis, based on data collected from Naver, Daum, and Google. As a result of the analysis, in order of frequency, the top six keywords were identified as tourist destinations, courses, recommendations, horseback riding, children, and tangerines. Through CONCOR analysis, four patterns were derived: 'dynamic experiential tourism', 'static experiential tourism', 'policy and support', and 'experience content development'. The sentiment analysis revealed positive words were prevelant. These results are expected to provide basic data for establishing policies related to experiential tourism in Jeju Island.

Journal of MICE & Tourism ResearchVol. 25(3)
Decent work and economic growth
Openalex Percentile: Top 28%
Geochemistry and Geologic Mapping
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A study on domestic residents’ experiential tourism in Jeju Island: Focusing on social big data analysis · Journal of MICE & Tourism Research (2025) | TGRS Research Map | TGRS