This package implements the Structural Topic Model, a general approach to
including document-level metadata within mixed-membership topic models. To
read the vignette use vignette('stmVignette').
Author: Margaret E. Roberts, Brandon M. Stewart and Dustin Tingley
Maintainer: Brandon Stewart <bms4@princeton.edu>
Functions to manipulate documents: textProcessor
readCorpus prepDocuments
Functions to fit the model: stm selectModel
manyTopics searchK
Functions to summarize a model: labelTopics
summary.STM findThoughts
Functions for Post-Estimation: estimateEffect
topicCorr permutationTest
Plotting Functions: plot.STM plot.estimateEffect
plot.topicCorr plot.STMpermute
plotQuote plotTopicLoess
plotModels topicQuality
Pre-Fit Models and Data: gadarian gadarianFit
poliblog5k
Roberts, M., Stewart, B., Tingley, D., and Airoldi, E. (2013) "The structural topic model and applied social science." In Advances in Neural Information Processing Systems Workshop on Topic Models: Computation, Application, and Evaluation.
Roberts, M., Stewart, B., Tingley, D., Lucas, C., Leder-Luis, J., Gadarian, S., Albertson, B., Albertson, B. and Rand, D. (2014). "Structural topic models for open ended survey responses." American Journal of Political Science.
Additional papers at: structuraltopicmodel.com
stm