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Who knows it better? Reassessing human qualitative analysis with text mining

Who knows it better? Reassessing human qualitative analysis with text mining In a context where human–machine interaction is growing, understanding the limits between automated and human-based methods may leverage qualitative research. This paper aims to compare human and machine analyses, highlighting the challenges and opportunities of both approaches.Design/methodology/approachThis study applied qualitative secondary analysis (QSA) with machine learning-based text mining on qualitative data from 25 interviews previously analyzed with traditional qualitative content analysis.FindingsBy analyzing both techniques' strengths and weaknesses, this study complements the results from the original research work. The previous human model failed to point to a particular aspect of the case, while the machine analysis did not recognize the sequence of time in the interviewee's discourse.Originality/valueThis study demonstrates that combining content analysis with text mining techniques improves the quality of the research output. Researchers may, therefore, better handle biases from humans and machines in traditional qualitative and quantitative research. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Qualitative Research in Organizations and Management An International Journal Emerald Publishing

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References (39)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1746-5648
DOI
10.1108/qrom-07-2021-2173
Publisher site
See Article on Publisher Site

Abstract

In a context where human–machine interaction is growing, understanding the limits between automated and human-based methods may leverage qualitative research. This paper aims to compare human and machine analyses, highlighting the challenges and opportunities of both approaches.Design/methodology/approachThis study applied qualitative secondary analysis (QSA) with machine learning-based text mining on qualitative data from 25 interviews previously analyzed with traditional qualitative content analysis.FindingsBy analyzing both techniques' strengths and weaknesses, this study complements the results from the original research work. The previous human model failed to point to a particular aspect of the case, while the machine analysis did not recognize the sequence of time in the interviewee's discourse.Originality/valueThis study demonstrates that combining content analysis with text mining techniques improves the quality of the research output. Researchers may, therefore, better handle biases from humans and machines in traditional qualitative and quantitative research.

Journal

Qualitative Research in Organizations and Management An International JournalEmerald Publishing

Published: Jun 19, 2023

Keywords: Content analysis; Text mining; Qualitative secondary analysis

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