A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews

Online physician reviews are a massive and potentially rich source of information capturing patient sentiment regarding healthcare. We analyze a corpus comprising nearly 60 000 such reviews with a state-of-the-art probabilistic model of text. We describe a probabilistic generative model that captures latent sentiment across aspects of care (eg, interpersonal manner ). We target specific aspects by leveraging a small set of manually annotated...