השוואת שיטות

	ניתוח שכיחות משותפת	TF-IDF
תחום	כריית טקסט	כריית טקסט
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1957	1988
הוגה השיטה	J.R. Firth (distributional principle)	Salton & Buckley
סוג	Text-mining / distributional-semantics technique	Text vectorization / term-weighting scheme
מקור מכונן	Firth, J.R. (1957). A Synopsis of Linguistic Theory. Studies in Linguistic Analysis. Oxford: Blackwell.	Salton, G. & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513-523.
כינויים	word co-occurrence, co-occurrence network, Kelime Eş-Oluşum Analizi	term weighting, tf-idf weighting, TF-IDF Vektörizasyonu
קשורות	4	3
תקציר	Co-occurrence analysis is a text-mining technique that statistically counts the word pairs that appear together within a window or a sentence and uses their frequencies to reveal semantic maps and thematic structure. It rests on the distributional principle articulated by J.R. Firth in 1957 — that a word is characterised by the company it keeps.	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.