手法を比較

	共起分析	TF-IDF
分野	テキストマイニング	テキストマイニング
系統	Process / pipeline	Process / pipeline
提唱年	1957	1988
提唱者	J.R. Firth (distributional principle)	Salton & Buckley
種類	Text-mining / distributional-semantics technique	Text vectorization / term-weighting scheme
原典	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.
別名	word co-occurrence, co-occurrence network, Kelime Eş-Oluşum Analizi	term weighting, tf-idf weighting, TF-IDF Vektörizasyonu
関連	4	3
概要	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.