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

• Главные авторы: Chaoyang Li (Автор), Shengyu Li (Автор), Jianfeng Yang (Автор), Jingmei Wang (Автор), Yiqing Lv (Автор)
• Формат: ‌
• Опубликовано: Frontiers Media S.A., 2023-06-01T00:00:00Z.
• Предметы: article
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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...