Abstract
This paper demonstrates how to use the R package stm for structural topic modeling. The structural topic model allows researchers to flexibly estimate a topic model that includes document-level metadata. Estimation is accomplished through a fast variational approximation. The stm package provides many useful features, including rich ways to explore topics, estimate uncertainty, and visualize quantities of interest.
| Original language | English (US) |
|---|---|
| Journal | Journal of Statistical Software |
| Volume | 91 |
| DOIs | |
| State | Published - 2019 |
All Science Journal Classification (ASJC) codes
- Software
- Statistics and Probability
- Statistics, Probability and Uncertainty
Keywords
- LDA
- R
- Stm
- Structural topic model
- Text analysis
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