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

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 and Christopher Griffin

Mathematica Policy Research Reports from Mathematica Policy Research

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.

Keywords: qualitative; research (search for similar items in EconPapers)
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