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	Corpus-Assisted Discourse Studies	Keyness Analysis
Dziedzina	Językoznawstwo	Językoznawstwo
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	2004	1997
Twórca	Alan Partington and colleagues	Mike Scott
Typ	Mixed-methods corpus-and-discourse analytic approach	Corpus comparison of relative word frequencies
Źródło pierwotne	Partington, A., Duguid, A., & Taylor, C. (2013). Patterns and Meanings in Discourse: Theory and Practice in Corpus-Assisted Discourse Studies (CADS). John Benjamins. ISBN: 9789027203885	Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245.
Inne nazwy	CADS, Corpus-Assisted Discourse Analysis, Corpus-Based Discourse Analysis	Keyword Analysis, Corpus Keyness, Keyness Statistics
Pokrewne	4	3
Podsumowanie	Corpus-Assisted Discourse Studies (CADS) is a mixed-methods approach that combines the quantitative power of corpus linguistics with the interpretive depth of discourse analysis to investigate how meanings, evaluations, and ideologies are constructed across large collections of text. Pioneered by Alan Partington and colleagues, CADS uses corpus techniques such as keyness, collocation, and concordancing to identify patterns no analyst could find by reading alone, then 'shunts' back to close qualitative reading to interpret what those patterns mean in their discursive context.	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.