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A Study on the Discovery of Future Research Topics of the Smart Tourism using Text Mining
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텍스트 마이닝을 활용한 스마트 관광의 미래 연구주제 발굴에 관한 연구

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Type
Academic journal
Author
Journal
Tourism Research Institute Hanyang University Journal of Tourism Studies Vol.34 No.1 (Wn.70) KCI Accredited Journals
Published
2022.2
Pages
171 - 194 (24page)
DOI
10.21581/jts.2022.2.34.1.171

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A Study on the Discovery of Future Research Topics of the Smart Tourism using Text Mining
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Abstract· Keywords

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The purpose of this research is to explore main research trends and present research directions in the smart tourism field, using LDA, one of the topic modeling techniques. The experimental dataset of smart tourism academic paper of 7,799 was acquired through Scopus database in the past four years. As a result of topic modeling analysis, research topics such as sustainable tourism development, intelligent system, online consumer behavior, online platform service, mobile apps, social media marketing, experience technology, travel recommendation system, sentimental analysis technic, big data based prediction model, potential of local cultural heritage, tourism network analysis were derived. And future research directions were suggested by referring to research related to topics that are judged to be important to discuss in smart tourism. The results of this study can be used as basic data to accurately judge issues of smart tourism and prepare for the need for change, and can be usefully used to prepare for the digital transformation of the tourism industry. In addition, it can be used as a methodology necessary for analyzing text data and the possibility of using text mining to discover the needs and preferences of research in the smart tourism field.
#Smart Tourism #Research Topic #Text Mining #Topic Modeling #Latent Dirichlet Allocation #스마트 관광 #연구주제 #텍스트마이닝 #토픽 모델링 #잠재 디리클레 할당

Contents

Abstract
국문요지
Ⅰ. 서론
Ⅱ. 이론적 배경
Ⅲ. 연구 방법
Ⅳ. 연구 결과
Ⅴ. 논의 및 결론
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