earticle

논문검색

Internet

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

원문정보

Jong-Hyun Park, Yang-Ja Bae, Jun-Ho Park, Ki-Hwan Ryu

한국인터넷방송통신학회 International Journal of Internet, Broadcasting and Communication Vol.15 No.3 2023.08 pp.1-7
피인용수 : 0건 (자료제공 : 네이버학술정보)

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

저자정보

  • 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

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.