We present an unsupervised model for the discovery and clustering of latent "personas" (characterizations of entities). Our model simultaneously clusters documents featuring similar collections of personas. We evaluate this model on a collection of news articles about immigration, showing that personas help predict the coarse-grained framing annotations in the Media Frames Corpus. We also introduce automated model selection as a fair and robust form of feature evaluation.
No takes yet. Share an insight, caveat, or question.
Card et al. (2016) studied this question.
Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context: