Natural Language Processing in Mixed-Methods Text Analysis: A Workflow Approach

Autor/inn/en	Parks, Louisa; Peters, Wim
Titel	Natural Language Processing in Mixed-Methods Text Analysis: A Workflow Approach
Quelle	In: International Journal of Social Research Methodology, 26 (2023) 4, S.377-389 (13 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Parks, Louisa)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1364-5579
DOI	10.1080/13645579.2021.2018905
Schlagwörter	Natural Language Processing; Humanities; Social Science Research; Content Analysis; Mixed Methods Research; Automation; Case Studies; Research Methodology + Suchen Sie Ihr Suchwort? Natürliche Sprache; Geisteswissenschaften; Humanwissenschaften; Social scientific research; Sozialwissenschaftliche Forschung; Inhaltsanalyse; Case study; Fallstudie; Case Study; Research method; Forschungsmethode
Abstract	The ever-increasing application of Digital Humanities techniques to social scientific research questions calls for continuous reflection on how they can contribute to scholarly research in combination with other more common text analysis methods. This article explores the various dimensions along which scholarly text analysis can be performed, using combinations of Natural Language Processing (NLP) and qualitative content analysis methods. The authors describe a practical methodological position based on a mixed-methods approach, arguing that a careful mix of automated language analysis using NLP and manual qualitative text analysis can help respond to the depth/breadth dilemma often encountered in case study research, whereby more detailed studies cover fewer cases, and vice versa (e.g. Gerring, 2007). The article demonstrates that using NLP and qualitative text analysis within a research workflow or cycle can allow researchers to move beyond the examination of the same data through the lenses of different methods for purposes such as corroboration, and towards a deeper exploration that reacts to the findings arising from different methods to hone and generate new avenues of research. (ERIC).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01