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Sleutelwoordextractie×Thematische Analyse×
VakgebiedTekstminingKwalitatief onderzoek
FamilieProcess / pipelineProcess / pipeline
Jaar van ontstaan2006
GrondleggerVirginia Braun and Victoria Clarke
TypeNLP text-mining taskMethod
Oorspronkelijke bronMihalcea, 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 ↗
Aliassenkeyphrase extraction, key term extraction, Anahtar Kelime Çıkarma (Keyword Extraction)TA, Reflexive Thematic Analysis
Verwant43
SamenvattingKeyword 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.
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ScholarGateMethoden vergelijken: Keyword Extraction · Thematic Analysis. Geraadpleegd op 2026-06-19 via https://scholargate.app/nl/compare