Journal of Statistical Software· 2019Q1
<b>stm</b>: An <i>R</i> Package for Structural Topic Models
- 1,525citations
- Q1SCImago
- 2019year
Short summary
The 'stm' R package is introduced, enabling researchers to estimate structural topic models that incorporate document-level metadata using a fast variational approximation.
AI-generated from the title and abstract; the full text is not read.
Key points
- Introduces the 'stm' R package for structural topic modeling.
- Enables inclusion of document-level metadata in topic models.
- Employs a fast variational approximation for efficient estimation.
- Provides tools for topic exploration, uncertainty estimation, and visualization.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Journal of Statistical Software, 2019 · DOI ↗
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Field: General Social Sciences
General Social SciencesSocial Sciences