@proceedings{33316,
  author = {Margaret Roberts and Brandon Stewart and Dustin Tingley and Edoardo Airoldi},
  title = {The Structural Topic Model and Applied Social Science},
  abstract = {<p>We develop the Structural Topic Model which provides a general way to incorporate corpus structure or document metadata into the standard topic model. Document-level covariates enter the model through a simple generalized linear model framework in the prior distributions controlling either topical prevalence or topical content. We demonstrate the model{\textquoteright}s use in two applied problems: the analysis of open-ended responses in a survey experiment about immigration policy, and understanding differing media coverage of China{\textquoteright}s rise.</p>
},
  year = {2013},
  journal = {Advances in Neural Information Processing Systems Workshop on Topic Models: Computation, Application, and Evaluation},
  address = {Lake Tahoe, Nevada},
  language = {eng},
}