@article{159731,
  keywords = {structural topic model, text analysis, LDA, stm, R},
  author = {Margaret Roberts and Brandon Stewart and Dustin Tingley},
  title = {stm: An R Package for Structural Topic Models},
  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. },
  year = {2019},
  journal = {Journal of Statistical Software},
  volume = {91},
  pages = {1{\textendash}40},
  issn = {1548-7660},
  url = {https://www.jstatsoft.org/v091/i02},
  doi = {10.18637/jss.v091.i02},
  language = {eng},
}