인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Purpose: This study aims to analyze park-relatred complaints posted on social media using artificial intelligence (AI)-based natural language processing (NLP) technology to identify the characteristics of these complaints from the perspective of ecosystem services. Method: In this study, Python programming language and its supporting packages were utilized to scrape park-related complaint data registered on social media from July 1, 2023, to June 30, 2024, extracting the words that comprise the complaints. Using AI-based NLP techniques, specifically TF-IDF and K-means clustering algorithms, the importance of the extracted words was calculated and clustered. Additionally, the service support elements of parks inferred from the extracted words were classified into gray infrastructure and green infrastructure, and the characteristics of the complaints were quantified from the perspective of ecosystem services. Result: Complaints related to national parks and urban parks were strongly raised, particularly focusing on park management and infrastructure installation. Using AI to categorize words related to infrastructure into gray and green infrastructure, it was found that most complaints were concentrated on gray infrastructure, such as parking lots and restrooms. Complaints about green infrastructure were relatively few, with some even opposing ecosystem conservation and management. This was interpreted as a result of the public's lack of understanding and interest in the ecosystem services provided by parks.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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