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

See Also

stm