A comparative study of qualitative data mining tools based on fieldwork experience
Qualitative data mining tools have been widely applied in academic research that involves qualitative data analysis. Based on the authors experience in analyzing interview materials collected through fieldwork, this study compares several commonly used qualitative data analysis software tools, examining their respective strengths and weaknesses. It evaluates these tools from three dimensions: cost, research needs, and technical competence. The conclusion drawn is that researchers should select qualitative data mining tools that best suit their specific needs and technical skills. Beginners are encouraged to try mature commercial software. Looking ahead, qualitative data mining tools are expected to evolve toward greater automation, connectivity, and mobility.
Authors
- Hai–Ling Qiao (ORCID: https://orcid.org/0000-0002-8533-344X)
- Yan Chen (ORCID: https://orcid.org/0000-0001-9563-5604)
Institutions
- Minzu University of China (CN)
- Tianshui Normal University (CN)
Publication Details
- Journal
- Advances in Humanities Research
- Published
- 2025-06-30
- DOI
- https://doi.org/10.54254/2753-7080/2025.24239
- Primary Topic
- Diverse Approaches in Healthcare and Education Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00