Keyness Analysis: nature, metrics and techniques

Research output: Chapter in Book/Report/Conference proceedingChapter

21 Citations (Scopus)
400 Downloads (Pure)

Abstract

Keyness analysis is perhaps the most widely used technique within corpus approaches to (critical) discourse studies. This chapter will first define the nature of keyness, and outline the research foci that keyness analysis can be usefully employed to address (e.g. not only differences, but also similarities). It will then provide a brief historical overview of the use of frequency comparisons in corpus linguistics, from manual comparisons of the frequency of particular linguistic items to the automated comparison of the frequency of all words in two corpora (or sub-corpora). The above will also act as the springboard for the discussion of the core aspects of keyness analysis, and associated common misconceptions. 1. The unit of analysis. Most studies select the word as the unit of analysis (as indicated by the common use of the term ‘keyword’). However, this need not be the default selection: frequency comparisons can focus on any lexical or morphosyntactic unit, or particular semantic or pragmatic meanings – as long as the appropriate corpus annotation has been carried out. 2. The selection of the corpora to be compared. The discussion will focus on issues relating to the nature of ‘study’ and ‘reference’ corpus, and their relative size. 3. The issue of appropriate metrics. The discussion will focus on the difference between metrics of effect size and statistical significance, and the usefulness of combining the two types. It will also provide a comparison of the effect size metrics currently adopted by widely used corpus tools. 4. The selection of the key items that a study can usefully focus on. As an automated keyness analysis usually returns a much larger number of key items than is feasible to tackle, the approach to selection is of paramount importance, as it will determine the results and conclusions. These issues, and the associated methodological decisions and their implications, will be discussed with reference to a case study.
Original languageEnglish
Title of host publicationCorpus Approaches To Discourse: A critical review
EditorsCharlotte Taylor, Anna Marchi
Place of PublicationOxford
PublisherRoutledge
Pages225-258
Number of pages298
ISBN (Print)9781138895782
Publication statusPublished - 7 Feb 2018

Keywords

  • corpus linguistics
  • keyness analysis
  • quantitative analysis

Fingerprint Dive into the research topics of 'Keyness Analysis: nature, metrics and techniques'. Together they form a unique fingerprint.

  • Research Output

    • 21 Citations
    • 3 Paper

    Clusters of keyness: A principled approach to selecting key items

    Gabrielatos, C., 28 Oct 2017, (Accepted/In press).

    Research output: Contribution to conferencePaper

    Open Access
    File
  • Keyness: Appropriate metrics and practical issues

    Gabrielatos, C. & Marchi, A., 2012.

    Research output: Contribution to conferencePaper

  • Keyness: Matching metrics to definitions

    Gabrielatos, C. & Marchi, A., 5 Nov 2011. 27 p.

    Research output: Contribution to conferencePaper

    File
  • Profiles

    No photo of Costas Gabrielatos

    Dr Costas Gabrielatos

    Person: Academic

    Activities

    • 1 Invited talk

    Keyness Analysis: A critical overview

    Costas Gabrielatos (Invited speaker)

    22 Feb 2018

    Activity: Talk or presentation typesInvited talk

    File

    Cite this