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 reviews. We perform regression analysis to assess whether [...]
Author(s): Wallace, Byron C, Paul, Michael J, Sarkar, Urmimala, Trikalinos, Thomas A, Dredze, Mark
DOI: 10.1136/amiajnl-2014-002711