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.
학술저널
DBpia Top 5%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
This study aimed to provide marketing strategies for increasing attendance and revitalizing professional baseball teams by utilizing social big data analysis. To achieve this, text mining, TF-IDF, centrality measures, and semantic network analysis were conducted using Textom and Ucinet6. The study period was limited from January 1, 2015, to June 30, 2024. The analysis results showed that, firstly, in professional baseball, professional baseball teams, Shinhan Bank, and Gocheok Sky Dome were identified. Secondly, in the KT Wiz factors, players such as Kang Baek-ho, Hwang Jae-gyun, and Park Byung-ho, who represent or have represented KT Wiz, were extracted, along with words related to uniforms, sales, attending games, and cheering. Thirdly, in terms of game records and results, words related to game outcomes such as wins, losses, losing streaks, runs allowed, and hits were extracted, as well as terms related to game records such as starting pitchers, pitchers, batters, and appearances. Fourthly, in the media factors, words related to media such as photos, reporters, and media outlets, as well as Manager Lee Kang-chul, were extracted. Finally, in the category of food around the stadium, words like popular restaurants, cafes, information, and site maps were identified. Therefore, it is expected that the results of this study can serve as basic data for revitalizing the KT Wiz team and increasing attendance.
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.
최근 본 자료 전체보기
UCI(KEPA) : I410-151-25-02-092449841
