{"title":"Trends in Overtourism Research From 2018 to 2021: Text Mining and Semantic Network Analysis","authors":"Ruohan Tang, Won Seok Tee, Joonho Moon, J. Shim","doi":"10.3727/154427223x16890979065884","DOIUrl":null,"url":null,"abstract":"This research aimed to examine overtourism-related papers published in the Web of Science and to identify research structure framework through network analysis between key keywords. Accordingly, the abstract of 110 papers related to overtourism from 2018 to 2021 was reviewed through text mining using Python. Afterwards, clusters derived through semantic network analysis were found to be Positive/Negative Impact of Tourism Development, Economic Causes, Efforts for Sustainability,” and Necessity of Policy. Through this, it was intended to present countermeasures against overtourism and directions for establishing policies. In addition, by deriving the main keywords for each cluster, basic data that can examine the relationship between overtourism phenomena in more detail were provided and contributed to the literature.","PeriodicalId":46032,"journal":{"name":"Tourism Review International","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Review International","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3727/154427223x16890979065884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
引用次数: 0
Abstract
This research aimed to examine overtourism-related papers published in the Web of Science and to identify research structure framework through network analysis between key keywords. Accordingly, the abstract of 110 papers related to overtourism from 2018 to 2021 was reviewed through text mining using Python. Afterwards, clusters derived through semantic network analysis were found to be Positive/Negative Impact of Tourism Development, Economic Causes, Efforts for Sustainability,” and Necessity of Policy. Through this, it was intended to present countermeasures against overtourism and directions for establishing policies. In addition, by deriving the main keywords for each cluster, basic data that can examine the relationship between overtourism phenomena in more detail were provided and contributed to the literature.
本研究旨在对Web of Science上发表的与过度旅游相关的论文进行梳理，并通过关键词之间的网络分析来确定研究结构框架。据此，通过Python文本挖掘，对2018 - 2021年110篇与过度旅游相关的论文摘要进行了综述。通过语义网络分析得到的聚类分别为“旅游发展的积极/消极影响”、“经济原因”、“可持续性努力”和“政策必要性”。通过这一研究，提出了防止过度旅游的对策和政策制定方向。此外，通过导出每个集群的主要关键词，提供了可以更详细地研究过度旅游现象之间关系的基本数据，并为文献做出了贡献。
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