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Analysis on Domestic Franchise Food Tech Interest by using Big Data

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.16 No.2 (2024.05)바로가기
  • 페이지
    pp.179-184
  • 저자
    Hyun Seok Kim, Yang-Ja Bae, Munyeong Yun, Gi-Hwan Ryu
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A452301

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원문정보

초록

영어
Franchise are now a red ocean in Food industry and they need to find other options to appeal for their product, the uprising content, food tech. The franchises are working on R&D to help franchisees with the operations. Through this paper, we analyze the franchise interest on food tech and to help find the necessity of development for franchisees who are in needs with hand, not of human, but of technology. Using Textom, a big data analysis tool, "franchise" and “food tech” were selected as keywords, and search frequency information of Naver and Daum was collected for a year from 01 January, 2023 to 31 December, 2023, and data preprocessing was conducted based on this. For the suitability of the study and more accurate data, data not related to "food tech" was removed through the refining process, and similar keywords were grouped into the same keyword to perform analysis. As a result of the word refining process, a total of 10,049 words were derived, and among them, the top 50 keywords with the highest relevance and search frequency were selected and applied to this study. The top 50 keywords derived through word purification were subjected to TF-IDF analysis, visualization analysis using Ucinet6 and NetDraw programs, network analysis between keywords, and cluster analysis between each keyword through Concor analysis. By using big data analysis, it was found out that franchise do have interest on food tech. “technology”, “franchise”, “robots” showed many interests and keyword “R&D” showed that franchise are keen on developing food tech to seize competitiveness in Franchise Industry.

목차

Abstract
1. Introduction
1.1 FOOD-TECH
1.2 FRANCHISE
1.3 Importance and Purpose of this Study
2. METHOD
2.1 Research Subject
2.2 Research Tool
2.3 Data processing
3. RESULT
3.1 Data mining
3.2 Text Mining Analysis Result
3.3 Network Visualization Analysis Result
4. CONCLUSION
References

키워드

“Franchise” “Food Tech” “Big-Data”

저자

  • Hyun Seok Kim [ Ph. D. student, Department of Immersive Content Convergence, Graduate School of KwangWoon University, Seoul, Korea ]
  • Yang-Ja Bae [ Ph. D. student, Department of Immersive Content Convergence, Graduate School of KwangWoon University, Seoul, Korea ]
  • Munyeong Yun [ 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

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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