| stm-package {stm} | R Documentation |
Structural Topic Model
Description
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').
Details
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
Author(s)
Author: Margaret E. Roberts, Brandon M. Stewart and Dustin Tingley
Maintainer: Brandon Stewart <bms4@princeton.edu>
References
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