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stm: An R Package for Structural Topic Models

delete2019-01-01
delete936
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OA
AI
M
Margaret E. Roberts *
B
Brandon Stewart
D
Dustin Tingley
DOI：10.18637/jss.v091.i02delete
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Abstract

Abstract

En 中文
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.
Keywords:
structural topic model
text analysis
LDA
stm
R

Journal

Journal of Statistical Software cover
Journal of Statistical Software
IF:
8.1
Papers:
622
Citations:
4.6W

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P
Princeton University
Scholars:
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Papers: 2.3W
Citations: 5.1W
University of California System cover
University of California System
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37.5W
Papers: 33.7W
Citations: 6.6K
U
University of California San Diego
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4.6W
Papers: 3.5W
Citations: 924
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