เปรียบเทียบวิธี

	Keyness Analysis	การวิเคราะห์คำคู่
สาขาวิชา	ภาษาศาสตร์	การทำเหมืองข้อความ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1997	1990
ผู้ริเริ่ม	Mike Scott	Church & Hanks
ประเภท	Corpus comparison of relative word frequencies	Statistical text-mining technique
แหล่งต้นตำรับ	Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245.	Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29.
ชื่อเรียกอื่น	Keyword Analysis, Corpus Keyness, Keyness Statistics	word association, collocation extraction, Birliktelik Analizi (Collocation Analysis)
ที่เกี่ยวข้อง	3	3
สรุป	Keyness analysis identifies the words that are characteristically frequent (or infrequent) in a target corpus relative to a reference corpus, using statistical tests to measure how unexpected each word's frequency is. Introduced by Mike Scott in 1997, it answers the question 'what is this text or collection distinctively about?' and is a central technique in corpus linguistics and corpus-assisted discourse analysis for surfacing the salient vocabulary of a genre, period, author, or social group.	Collocation analysis is a statistical text-mining technique that identifies word pairs or expressions that frequently occur together, using association measures rather than chance co-occurrence. Introduced in the lexicography work of Church and Hanks (1990), it is used for terminology extraction and language analysis, surfacing the multi-word units that carry meaning in a corpus.