텍스트마이닝을 통한 코로나19 이후 크루즈 관광 동향 탐색 연구

• 영문명: A Study on Cruise Tourism Trends after COVID-19 Using Text Mining
• 발행기관: 한국해양관광학회
• 저자명: 한장헌(Jang-Heon Han)
• 간행물 정보: 『해양관광연구』제17권 제4호, 213~226쪽, 전체 14쪽
• 주제분류: 사회과학 > 관광학
• 파일형태: PDF
• 발행일자: 2024.12.31

국문 초록

Cruise tourism represents a dynamic and forward-looking segment of the tourism industry, aligning with future trends by offering the pleasure of travel through movement, in contrast to traditional, stationary forms of tourism. As an integrated tourism experience, cruises are designed to accommodate families of diverse age groups, combining comfortable relaxation with the cultural exploration of destinations. Moreover, cruise tourism contributes to the economic revitalization of ports of call and promotes sustainable practices through the adoption of eco-friendly ships and operations. This study employs text mining, an increasingly popular method in tourism research, to analyze data related to cruise tourism. The findings reveal the following:First, terms such as “travel,” “recommendation,” “hotel,” “reservation,” “Busan,” “schedule,” “tourist destination,” “course,” and “dinner show” emerged as the most frequently mentioned keywords. Second, a comparative analysis of degree centrality and closeness centrality revealed significant differences; keywords such as “reservation,” “schedule,” “tourist destination,” “product,” “visit,” “Korea,” “guide,” and “plan” demonstrated higher values in closeness centrality. Third, through CONCOR analysis, six distinct keyword clusters closely associated with cruise tourism were identified, highlighting the diverse and interconnected nature of this tourism sector. These findings provide valuable insights into the structural and thematic aspects of cruise tourism, offering implications for future research and practical applications in the industry.

목차

Ⅰ. 서 론

Ⅱ. 이론적 배경

Ⅲ. 연구 방법

Ⅳ. 분석결과

Ⅴ. 결 론

참고문헌

키워드

텍스트마이닝 코로나19 크루즈관광 탐색적 연구 Text Mining COVID-19 Cruise Tourism Exploratory research