User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis
BackgroundChatbots have become a promising tool to support public health initiatives. Despite their potential, little research has examined how individuals interacted with chatbots during the COVID-19 pandemic. Understanding user-chatbot interactions is crucial for developing services that can respo...
Saved in:
Main Authors: | Hyojin Chin (Author), Gabriel Lima (Author), Mingi Shin (Author), Assem Zhunis (Author), Chiyoung Cha (Author), Junghoi Choi (Author), Meeyoung Cha (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2023-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study
by: Hyojin Chin, et al.
Published: (2023) -
Activities on Facebook Reveal the Depressive State of Users
by: Park, Sungkyu, et al.
Published: (2013) -
Users' Concerns About Endometriosis on Social Media: Sentiment Analysis and Topic Modeling Study
by: Rahul Goel, et al.
Published: (2023) -
Conversational Chatbot for Cigarette Smoking Cessation: Results From the 11-Step User-Centered Design Development Process and Randomized Controlled Trial
by: Jonathan B Bricker, et al.
Published: (2024) -
Key findings on women's reproductive health: the Korea Nurses' Health Study
by: Chiyoung Cha, et al.
Published: (2023)