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| Клъстеризация на документи× | Тематичен анализ× | |
|---|---|---|
| Област≠ | Извличане на текст | Качествени изследвания |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | — | 2006 |
| Създател≠ | — | Virginia Braun and Victoria Clarke |
| Тип≠ | Unsupervised text-mining task | Method |
| Основополагащ източник≠ | 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 ↗ |
| Други названия≠ | text clustering, unsupervised text grouping, Belge Kümeleme (Document Clustering) | TA, Reflexive Thematic Analysis |
| Свързани≠ | 4 | 3 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
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