Topic evolution and sentiment comparison of user reviews on an online medical platform in response to COVID-19: taking review data of Haodf.com as an example

Topic evolution and sentiment comparison of user reviews on an online medical platform in response to COVID-19: taking review data of Haodf.com as an example

IntroductionThroughout the COVID-19 pandemic, many patients have sought medical advice on online medical platforms. Review data have become an essential reference point for supporting users in selecting doctors. As the research object, this study considered Haodf.com, a well-known e-consultation web...

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Bibliographic Details
Main Authors:	Chaoyang Li, Shengyu Li, Jianfeng Yang, Jingmei Wang, Yiqing Lv
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-06-01
Series:	Frontiers in Public Health
Subjects:	online medical platform Haodf website text mining topic analysis sentiment analysis COVID-19 pandemics
Online Access:	https://www.frontiersin.org/articles/10.3389/fpubh.2023.1088119/full

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