This paper is in the following e-collection/theme issue:

Theme Issue 2022: Chatbots and COVID-19 (42) JMIR Theme Issue: COVID-19 Special Issue (2461) Chatbots and Conversational Agents (543) Outbreak and Pandemic Preparedness and Management (1743) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Artificial Intelligence (1421) Infodemiology and Infoveillance (1369) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40922, first published .
User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis

User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis

User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis

Authors of this article:

Hyojin Chin1 Author Orcid Image ;   Gabriel Lima1 Author Orcid Image ;   Mingi Shin2 Author Orcid Image ;   Assem Zhunis2 Author Orcid Image ;   Chiyoung Cha3 Author Orcid Image ;   Junghoi Choi4 Author Orcid Image ;   Meeyoung Cha1, 2 Author Orcid Image
Article Authors Cited by (25) Tweetations (6) Metrics

Hyojin Chin   1 , PhD ;   Gabriel Lima   1 , MSc ;   Mingi Shin   2 , BA ;   Assem Zhunis   2 , BA ;   Chiyoung Cha   3 , PhD ;   Junghoi Choi   4 , BA ;   Meeyoung Cha   1, 2 , PhD

1 Data Science Group, Institute for Basic Science, Daejeon, Republic of Korea

2 School of Computing, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

3 College of Nursing, Ewha Womans University, Seoul, Republic of Korea

4 SimSimi Inc, Seoul, Republic of Korea

Corresponding Author:

  • Meeyoung Cha, PhD
  • Data Science Group
  • Institute for Basic Science
  • 55, Expo-ro, Yuseong-gu
  • Daejeon, 34126
  • Republic of Korea
  • Phone: 82 428788114
  • Fax: 82 428788079
  • Email: meeyoung.cha@gmail.com