Earticle

현재 위치 Home

Communication &Intelligent Networks

Big Data-Based Comparative Analysis of Chinese Tourists' Korean Dining Experiences Focusing on Sentiment Analysis and Semantic Network Analysis

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.17 No.4 (2025.11)바로가기
  • 페이지
    pp.280-284
  • 저자
    Yoon-pyo Hong, Gi-Hwan Ryu, Sung-jun Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A486486

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
This study analyzed the factors influencing satisfaction with Korean dining experiences using online review data written by Chinese tourists. Reviews collected using Textom were categorized into atmosphere, hygiene, and service. Sentiment analysis, TF-IDF keyword analysis, and CONCOR semantic network analysis were then employed to understand the characteristics and structure of each factor. The analysis revealed differing proportions of positive and negative sentiment, distinct core keyword structures, and varying levels of perceived connectivity between words for each factor. This research provides practical data for the Korean food service industry to design marketing strategies and service improvement directions that align with tourists' expectations.

목차

Abstract
1. Introduction
2. Related Work
3. Research Methods
4. Analysis Results
5. Conclusion
References

키워드

China Korea hygiene atmosphere service restaurant famous restaurant

저자

  • Yoon-pyo Hong [ Master D. Student, Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University, Seoul, Korea ]
  • Gi-Hwan Ryu [ Professor, Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University, Seoul, Korea ]
  • Sung-jun Kim [ Master D. Student, Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University, Seoul, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.17 No.4

    피인용수 : 0(자료제공 : 네이버학술정보)

    함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.

      페이지 저장