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Proposed a consulting chatbot service for restaurant start-ups using social media big data

  • Jong-Hyun Park (Department of Immersive Content Convergence, Graduate School of Kwangwoon University) ;
  • Yang-Ja Bae (Department of Immersive Content Convergence, Graduate School of Kwangwoon University) ;
  • Jun-Ho Park (Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University) ;
  • Ki-Hwan Ryu (Department of Tourism and Food Industry, Graduate School of Smart Convergence, Kwangwoon University)
  • Received : 2023.04.27
  • Accepted : 2023.05.05
  • Published : 2023.08.31

Abstract

Since the first outbreak of COVID-19 in 2019, it has caused a huge blow to the restaurant industry. However, as social distancing was lifted as of April 2022, the restaurant industry gradually recovered, and as a result, interest in restaurant start-ups increased. Therefore, in this paper, big data analysis was conducted by selecting "restaurant start-up" as a key keyword through social media big data analysis using Textom and then conducting word frequency and CONCOR analysis. The collection period of keywords was selected from May 1, 2022 to May 23, 2023, after the lifting of social distancing due to COVID-19, and based on the analysis, the development of a restaurant start-up consulting chatbot service is proposed.

Keywords

References

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