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A Study on Development of a Tourism Course in Seosan using Social using Media Big Data

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence KCI 등재 바로가기
  • 통권
    Volume 10 Number 4 (2021.12)바로가기
  • 페이지
    pp.134-140
  • 저자
    Yeon-Joo Ha, Jong-Hyun Park, Kyoungmi-Yoo, Seok-Jae Moon, Gihwan Ryu
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A406154

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원문정보

초록

영어
Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist’s interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

목차

Abstract
1. INTRODUCTION
2. METHODS
3. RESULT
3.1. Trend Analysis of Tourism Keyword according to the Number of Mention
3.2. Tourism Keyword Analysis according to Sentiment Index
3.3. Analysis of Tourism Course Development by Social Media Mention
4. CONCLUSION
REFERENCES

키워드

Social Media Big Data Tourism Course Mention Frequency Sentiment Index.

저자

  • Yeon-Joo Ha [ Graduate School of Smart Convergence, Department of Tourism and Food Industry, Kwangwoon University, Korea ]
  • Jong-Hyun Park [ Graduate School, Department of Immersive Content Convergence, Kwangwoon University, Korea. ]
  • Kyoungmi-Yoo [ Professor, Department of Tourism Management, Institute of Information Technology, Kwangwoon University, Korea. ]
  • Seok-Jae Moon [ Professor, Institute of Information Technology, Kwangwoon University, Korea. ] Corresponding Author
  • Gihwan Ryu [ Professor, Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University, Korea. ]

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
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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