Earticle

초록

영어

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.

목차

Abstract
1. Introduction
2. THEORY
2.1 Chatbot
2.2 Natural language processing
2.3 Big Data Analysis
3. BIGDATA ANALYSIS
3.1 Analysis Method
3.2 Word Frequency Analysis
3.3 CONCOR Analysis
4. Restaurant start-up consulting chatbot design
4.1 Expected speech and entity
5. Conclusion
References

키워드

저자

• Jong-Hyun Park [ Department of Immersive Content Convergence, Graduate School of Kwangwoon University, Seoul, Korea ]
• Yang-Ja Bae [ Department of Immersive Content Convergence, Graduate School of Kwangwoon University, Seoul, Korea ]
• Jun-Ho Park [ Department of Tourism and Food Industry , Graduate School of Smart Convergence, Kwangwoon University, Seoul, Korea ]
• Ki-Hwan Ryu [ Professor, Department of Tourism and Food Industry , Graduate School of Smart Convergence, Kwangwoon University, Seoul, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380