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Collocated Topic Modeling

This repository contains the implementation of the collocated topic modeling method as described in Jung, Zhou, & Smith (2025). We include an R version and a Python version.

Citation

If you use our code in your study, please cite:

Jung, J., Zhou, W., and Smith, A. (2024). From Textual Data to Theoretical Insights: Introducing and Applying the Word-Text-Topic Extraction Approach. Organizational Research Methods (ORM).

or via BibTeX code:

@ARTICLE{jung2024textual,
  title =        {From Textual Data to Theoretical Insights: Introducing and
                  Applying the Word-Text-Topic Extraction Approach},
  author =       {Jung, Jaewoo and Zhou, Wenjun and Smith, Anne},
  journal =      {Organizational Research Methods (ORM)},
  pages =        {forthcoming},
  year =         {2025}
}

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The Word-Text-Topic (WTT) extraction approach, implemented in Python and R.

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