R: Structural Topic Model

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

### See Also

`stm`

[Package stm version 1.3.6 Index]