Methoden vergleichen

	Kookkurrenzanalyse	TF-IDF
Fachgebiet	Text Mining	Text Mining
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1957	1988
Urheber	J.R. Firth (distributional principle)	Salton & Buckley
Typ	Text-mining / distributional-semantics technique	Text vectorization / term-weighting scheme
Wegweisende Quelle	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.
Aliasnamen	word co-occurrence, co-occurrence network, Kelime Eş-Oluşum Analizi	term weighting, tf-idf weighting, TF-IDF Vektörizasyonu
Verwandt	4	3
Zusammenfassung	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.