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Health informatics / Telehealth / International standards / Statistical natural language processing / Personal health record / Health 2.0 / Latent Dirichlet allocation / Health care in the United States / Health / Medicine / Medical informatics


Detecting Salient Aspects in Online Reviews of Health Providers Samuel Brody, Ph.D., No´emie Elhadad, Ph.D. Department of Biomedical Informatics, Columbia University, New York, NY Abstract We present a fully automated m
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Document Date: 2010-11-18 12:50:33

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Company

ZocDoc / Press Ganey Associates / Google / /

Country

Jordan / United States / /

Facility

Columbia University / /

IndustryTerm

Opinion mining / Social media / Web users / Internet Res / text mining / Online Reviews / medical insurance / social networking / image processing / analysis tool / online review dataset / /

Movie

D. 4 / /

Organization

Department of Biomedical Informatics / North American Chapter / Columbia University / New York / Association for Computational Linguistics / /

Person

Latent Dirichlet / Pediatrist Dentist Psychiatrist Orthopedist Cardiologist / Arch Intern / Providers Samuel Brody / Xuan-Hieu Phan / /

Position

Psychiatrist / G.P. / dentist and psychiatrist / generative probabilistic graphical model / Dentist / model for unsupervised entity resolution / Bayesian hierarchical model for learning natural scene categories / Family/General Practitioner / physician / General / unsupervised aspect-sentiment model for online reviews / Internist Gynecologist / /

ProvinceOrState

New York / /

PublishedMedium

Computational Linguistics / Journal of Machine Learning Research / /

Technology

2.0 technology / http / Data Mining / Machine Learning / HTML / image processing / /

URL

http /

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