检测医疗服务提供者在线评论中的显著方面。
Detecting salient aspects in online reviews of health providers.
作者信息
Brody Samuel, Elhadad Noémie
机构信息
Department of Biomedical Informatics, Columbia University, New York, NY.
出版信息
AMIA Annu Symp Proc. 2010 Nov 13;2010:202-6.
Abstract
We present a fully automated method to capture what topics health consumers discuss when reviewing their health providers online. Our method does not rely on any manual tagging of the information, and operates on the text of online reviews. We analyze a large set of reviews and compare the topics discussed when reviewing providers with different specialties. This work provides a complementary view on the traditional qualitative approaches proposed so far to capturing factors for patient satisfaction. Furthermore, our research contributes to understanding in a bottom-up fashion the needs and interests of health consumers online.
摘要
我们提出了一种全自动方法，用于捕捉健康消费者在网上评价其医疗服务提供者时所讨论的话题。我们的方法不依赖于对信息的任何手动标注，而是基于在线评论的文本进行操作。我们分析了大量评论，并比较了在评价不同专业的医疗服务提供者时所讨论的话题。这项工作为迄今为止提出的用于捕捉患者满意度因素的传统定性方法提供了一个补充视角。此外，我们的研究有助于以自下而上的方式理解在线健康消费者的需求和兴趣。
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