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wtt

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

https://github.com/wzhou7/wtt

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in README
  • ○
    Academic publication links
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.1%) to scientific vocabulary

Keywords

published social-sciences text-analysis
Last synced: 6 months ago · JSON representation ·

Repository

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

Basic Info
  • Host: GitHub
  • Owner: wzhou7
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 37.1 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
published social-sciences text-analysis
Created about 4 years ago · Last pushed 11 months ago
Metadata Files
Readme Citation

README.md

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} }

Owner

  • Login: wzhou7
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Wenjun"
  given-names: "Zhou"
  orcid: "https://orcid.org/0000-0003-2346-8151"
- family-names: "Jung"
  given-names: "Jaewoo"
  orcid: "https://orcid.org/0000-0002-8409-4360"
- family-names: "Smith"
  given-names: "Anne"
  orcid: "https://orcid.org/0000-0003-1408-7859"
title: "Collocated Topic Modeling"
version: 2.0.4
doi: 10.1177/10944281241228186
date-released: 2025-03-19
url: "https://github.com/wzhou7/WTT"

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