cschwem2er/stminsights
A Shiny Application for Inspecting Structural Topic Models
This tool helps researchers and data analysts visualize and interpret Structural Topic Models (STMs). You input your pre-computed STM models and effect estimates, and it provides interactive visualizations to understand the topics within your text data and how they relate to other variables. It's ideal for anyone who works with large text corpuses and wants to make sense of latent themes and their drivers.
121 stars. No commits in the last 6 months.
Use this if you have already built Structural Topic Models and need a user-friendly way to validate, interpret, and present your findings without writing extensive visualization code.
Not ideal if you are looking for a tool to build topic models from scratch or if you need to perform complex statistical analysis beyond model interpretation.
Stars
121
Forks
15
Language
R
License
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Category
Last pushed
Jun 27, 2024
Commits (30d)
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