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| Извличане на ключови думи× | Тематичен анализ× | |
|---|---|---|
| Област≠ | Извличане на текст | Качествени изследвания |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | — | 2006 |
| Създател≠ | — | Virginia Braun and Victoria Clarke |
| Тип≠ | NLP text-mining task | Method |
| Основополагащ източник≠ | Mihalcea, R. & Tarau, P. (2004). TextRank: Bringing Order into Texts. EMNLP, 404-411. link ↗ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Други названия≠ | keyphrase extraction, key term extraction, Anahtar Kelime Çıkarma (Keyword Extraction) | TA, Reflexive Thematic Analysis |
| Свързани≠ | 4 | 3 |
| Резюме≠ | Keyword extraction is a natural-language-processing task that automatically identifies the words or phrases that best represent the content of a document. It turns a body of free text into a compact, ranked list of key terms, drawing on statistical, graph-based methods such as TextRank (Mihalcea & Tarau, 2004), or embedding-based methods such as KeyBERT (Grootendorst, 2020). | 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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