Computational Sensitizing: Using Textual Data Mining in a Qualitative Research Context
DOI:
https://doi.org/10.17169/fqs-25.3.4246Keywords:
automatic text analysis, qualitative research, text mining tools, mixed methods, textual data miningAbstract
Textual data mining analysis and visualization methods are increasingly used in qualitative social research. This is accompanied by conceptual considerations of embedding such methods directly into research processes. In contrast to a reciprocal combination of digital and qualitative methods, we argue for a subordinate use of textual data mining that is limited to linguistic-statistical analysis steps for the purpose of computational sensitizing. By computational sensitizing we mean a broadening of perspective; textual data mining, like previous knowledge and theories, then serves only to stimulate questions and changed perspectives on the material. In this article, we use an educational research project to illustrate how the results of textual data mining can sensitize people working with qualitative data and doing qualitative research.
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