ScholarGate
Asistent
Process / pipelineCorpus linguistics

Keyness Analysis

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.

Otvorite u MethodMindUskoroPrimijenite, usporedite, dobijte smjernice
Alati i resursi
Preuzmi prezentaciju
Učenje i istraživanje
VideoUskoro

Pročitajte cijelu metodu

Samo za članove

Prijavite se besplatnim računom kako biste pročitali ovaj odjeljak.

Prijavite se

Karta metoda

Okruženje srodnih metoda — odaberite čvor za istraživanje.

Izvori

  1. Scott, M. (1997). PC analysis of key words — and key key words. System, 25(2), 233–245. DOI: 10.1016/S0346-251X(97)00011-0
  2. Baker, P. (2006). Using Corpora in Discourse Analysis. Continuum. ISBN: 9780826477248
  3. Gabrielatos, C. (2018). Keyness analysis: Nature, metrics and techniques. In C. Taylor & A. Marchi (Eds.), Corpus Approaches to Discourse: A Critical Review (pp. 225–258). Routledge. ISBN: 9781138895157

Kako citirati ovu stranicu

ScholarGate. (2026, June 22). Keyword and Keyness Analysis in Corpus Linguistics. ScholarGate. https://scholargate.app/hr/linguistics/keyness-analysis

Koja metoda?

Postavite ovu metodu uz njoj najsrodnije i pročitajte ih jednu uz drugu — knjižnica vam knjige stavlja na stol; izbor je na vama.

Usporedi jedno uz drugo

Citirana u

ScholarGateKeyness Analysis (Keyword and Keyness Analysis in Corpus Linguistics). Preuzeto 2026-06-24 s https://scholargate.app/hr/linguistics/keyness-analysis · Skup podataka: https://doi.org/10.5281/zenodo.20539026