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Developing and Testing an Automated Qualitative Assistant (AQUA) to Support Qualitative Analysis

Author

Listed:
  • Aparna Keshaviah
  • Cindy Hu
  • Robert P. Lennon
  • Robbie Fraleigh
  • Lauren J. Van Scoy
  • Bethany L. Snyder
  • Erin L. Miller
  • William A. Calo
  • Aleksandra E. Zgierska
  • Christopher Griffin

Abstract

The authors developed an automated qualitative assistant (AQUA) using machine-learning methods to rapidly and accurately code large text datasets. The tool replaces Latent Semantic Indexing with a more transparent graph-theoretic topic extraction and clustering method.

Suggested Citation

  • Aparna Keshaviah & Cindy Hu & Robert P. Lennon & Robbie Fraleigh & Lauren J. Van Scoy & Bethany L. Snyder & Erin L. Miller & William A. Calo & Aleksandra E. Zgierska & Christopher Griffin, "undated". "Developing and Testing an Automated Qualitative Assistant (AQUA) to Support Qualitative Analysis," Mathematica Policy Research Reports 27c5dbf3e4a04466902d35724, Mathematica Policy Research.
  • Handle: RePEc:mpr:mprres:27c5dbf3e4a04466902d3572443209ae
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    File URL: https://fmch.bmj.com/content/9/Suppl_1/e001287
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    Keywords

    qualitative research;

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