stm

swMATH30849CRANstmMaRDI QIDQ42563

Estimation of the Structural Topic Model

Brandon M. Stewart, Margaret E. Roberts, Dustin Tingley

Last update: 1 December 2023

Copyright license: MIT license, File License

Software version identifier: 1.3.6, 0.6.1, 0.6.12, 0.6.16, 0.6.24, 1.0.0, 1.0.1, 1.0.8, 1.1.0, 1.1.3, 1.2.1, 1.2.2, 1.3.0, 1.3.3, 1.3.4, 1.3.5, 1.3.6.1, 1.3.7

Description

The Structural Topic Model (STM) allows researchers to estimate topic models with document-level covariates. The package also includes tools for model selection, visualization, and estimation of topic-covariate regressions. Methods developed in Roberts et. al. (2014) <doi:10.1111/ajps.12103> and Roberts et. al. (2016) <doi:10.1080/01621459.2016.1141684>. Vignette is Roberts et. al. (2019) <doi:10.18637/jss.v091.i02>.

Cites work

• A Model of Text for Experimentation in the Social Sciences
• stm: An R Package for Structural Topic Models
• Structural Topic Models for Open‐Ended Survey Responses

Related Items (5)

The informational value of employee online reviews ⋮ stmgui ⋮ stminsights ⋮ stmCorrViz ⋮ discursive

This page was built for software: stm