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A study on the perception of Wellness FoodTech using big data analysis

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.17 No.2 (2025.06)바로가기
  • 페이지
    pp.99-106
  • 저자
    Dong-Yeon Lee, Gi-Hwan Ryu, Woo-Choul Chang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A470004

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원문정보

초록

영어
In the era of digital transformation, FoodTech is becoming an important industry that combines cuttingedge technology in the production, distribution, and consumption of food. In particular, wellness-oriented food technology emphasizing health and sustainability is attracting more and more attention. This study intends to analyze public awareness of the public awareness of Wellness FoodTech. Therefore, this study conducted big data analysis using text mining to confirm the public's perception of Wellness FoodTech. To this end, keywords related to Wellness FoodTech were collected from Naver, Daum, and Google portal sites through Textom. This study collected data by designating the collection period from March 2023 to March 2025. Based on this, visualization was performed through network analysis and Concor analysis between each keyword using UCINET 6 and NetDraw. Data from February 2021 to February 2023 were also analyzed to see if there was a change in key words. The results of the study confirmed changes in consumers' perceptions, and it was found that the importance of Wellness FoodTech in responding to health and dietary trends in modern society was more emphasized. With the continued emphasis on wellness values, FoodTech is expected to become a key factor in shaping future food consumption patterns. We suggest that wellness food tech is an important trend that reflects the needs of the times.

목차

Abstract
1. Introduction
2. Research Background
2.1 Wellness
2.2 FoodTech
2.3 Big data
3. Big data Analysis
3.1 Subject and scope of the study
3.2 Analysis method
4. Analysis results
5. Conclusion
References

키워드

Wellness FoodTech Big data CONCOR Analysis

저자

  • Dong-Yeon Lee [ 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 ] Corresponding Author
  • Woo-Choul Chang [ Professor, Department of Immersive Content Convergence, Graduate School, KwangWoon University, Seoul, 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
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

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