Comparer des méthodes

	Analyse de cooccurrence	TF-IDF
Domaine	Fouille de textes	Fouille de textes
Famille	Process / pipeline	Process / pipeline
Année d'origine	1957	1988
Auteur d'origine	J.R. Firth (distributional principle)	Salton & Buckley
Type	Text-mining / distributional-semantics technique	Text vectorization / term-weighting scheme
Source fondatrice	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.
Alias	word co-occurrence, co-occurrence network, Kelime Eş-Oluşum Analizi	term weighting, tf-idf weighting, TF-IDF Vektörizasyonu
Apparentées	4	3
Résumé	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.