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| Ομαδοποίηση Εγγράφων× | Θεματική Ανάλυση× | |
|---|---|---|
| Πεδίο≠ | Εξόρυξη Κειμένου | Ποιοτική Έρευνα |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | — | 2006 |
| Δημιουργός≠ | — | Virginia Braun and Victoria Clarke |
| Τύπος≠ | Unsupervised text-mining task | Method |
| Θεμελιώδης πηγή≠ | Aggarwal, C. C. & Zhai, C. (2012). Mining Text Data. Springer. ISBN: 9781461432227 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Εναλλακτικές ονομασίες≠ | text clustering, unsupervised text grouping, Belge Kümeleme (Document Clustering) | TA, Reflexive Thematic Analysis |
| Συναφείς≠ | 4 | 3 |
| Σύνοψη≠ | Document clustering is an unsupervised text-mining task that groups documents with similar content together without using any labels. It is used to organise large collections and for exploratory analysis, drawing on the body of text-mining techniques consolidated by Aggarwal and Zhai (2012) and compared empirically by Steinbach, Karypis and Kumar (2000). | Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences. |
| ScholarGateΣύνολο δεδομένων ↗ |
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