Literature DB >> 21346969

Detecting salient aspects in online reviews of health providers.

Samuel Brody1, Noémie Elhadad.   

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.

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Year:  2010        PMID： 21346969      PMCID： PMC3041395     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN： 1559-4076


  8 in total

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  8 in total
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Review 7.  The Voice of Chinese Health Consumers: A Text Mining Approach to Web-Based Physician Reviews.

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