Methoden vergelijken

	Co-occurrentieanalyse	TF-IDF
Vakgebied	Tekstmining	Tekstmining
Familie	Process / pipeline	Process / pipeline
Jaar van ontstaan	1957	1988
Grondlegger	J.R. Firth (distributional principle)	Salton & Buckley
Type	Text-mining / distributional-semantics technique	Text vectorization / term-weighting scheme
Oorspronkelijke bron	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.
Aliassen	word co-occurrence, co-occurrence network, Kelime Eş-Oluşum Analizi	term weighting, tf-idf weighting, TF-IDF Vektörizasyonu
Verwant	4	3
Samenvatting	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.