เปรียบเทียบวิธี

	TF-IDF	การวิเคราะห์แก่นสาระ
สาขาวิชา	การทำเหมืองข้อความ	การวิจัยเชิงคุณภาพ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1988	2006
ผู้ริเริ่ม	Salton & Buckley	Virginia Braun and Victoria Clarke
ประเภท	Text vectorization / term-weighting scheme	Method
แหล่งต้นตำรับ	Salton, G. & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513-523.	Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
ชื่อเรียกอื่น	term weighting, tf-idf weighting, TF-IDF Vektörizasyonu	TA, Reflexive Thematic Analysis
ที่เกี่ยวข้อง	3	3
สรุป	TF-IDF, introduced by Salton and Buckley (1988), is a term-weighting scheme that scores each word in a document by how often it appears there and how rare it is across the whole collection. It turns raw text into weighted document vectors, giving high weight to terms that are frequent in one document but uncommon elsewhere.	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.