온라인 텍스트 데이터를 활용한 관광지 지역주민의 혼잡에 대한 사회적 이슈 분석: 네트워크 텍스트 분석 및 감성분석 중심으로
An analysis of social issues on the crowding of tourist destination residents using online text data: A focus on network text analysis and sentiment analysis
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초록
본 연구의 목적은 온라인 텍스트 데이터를 활용하여 관광지 지역주민의 혼잡에 대한 사회적 이슈를 알아보고자 하는 것이다. 신문기사, 블로그, 카페 및 SNS 등 온라인에서 생성된 관광지 지역주민의 혼잡과 관련된 텍스트 데이터를 수집한 후 자료 전처리 과정을 거쳐 네트워크 텍스트 분석과 감성분석을 실시하였다. 분석결과 첫째, 관광지 지역주민 혼잡과 관련된 상위 핵심 키워드는 관광객, 관광개발, 교통체증, 대응책, 도시 등으로 나타났다. 둘째, CONCOR 분석 결과 혼잡발생 명소 및 정책적 대응, 관광 혼잡 발생원인, 지속가능한 혼잡관리 방안, 지역주민의 부정적 경험, 지역사회의 환경적 폐해, 제주 우도 관광혼잡 문제 및 대응책 등 6개의 군집이 형성되었다. 마지막으로 감성분석 결과 부정적 감성이 긍정적 감성보다 우세하게 나타났으며 부정어인 “불편하다”가 관광지 지역주민 혼잡에 대한 감성분석에서 가장 강도가 높은 것으로 나타났다. 본 연구는 연구결과를 기반으로 관광지 지역주민의 혼잡과 관련된 전반적인 사회적 양상과 특성을 이해하고 관광지 지역주민 혼잡에 대한 학술적 및 관리적 시사점을 제공하였다.
Abstract
The purpose of this study is to explore the social issues on the crowding of tourist destination residents using online text data. Data was collected from various online sources. After preprocessing, network text analysis and sentiment analysis were performed. The findings revealed the following: Firstly, the main keywords associated with the crowding of tourist destination residents were tourists, tourism development, traffic congestion, countermeasures, urban, and others. Secondly, CONCOR analysis identified six clusters: hotspot crowding and policy responses, causes of tourism crowding, sustainable crowding management strategies, negative experiences of local residents, environmental damage to the local community, and crowding issues and responses in Jeju Udo. Finally, sentiment analysis showed that negative sentiments outweighed positive ones, with the term “inconvenient” exhibiting the highest intensity. The findings provide academic contributions and practical implications for managing tourist destination crowding.
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