Analysing Language, Sex and Age in a Corpus of Patient Feedback

Analysing Language, Sex and Age in a Corpus of Patient Feedback

by Paul Baker and Gavin Brookes
Epub (Kobo), Epub (Adobe)
Publication Date: 31/07/2022

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This Element explores approaches to locating and examining social identity in corpora with and without the aid of demographic metadata. This is a key concern in corpus-aided studies of language and identity, and this Element sets out to explore the main challenges and affordances associated with either approach and to discern what either approach can (and cannot) show. It describes two case studies which each compare two approaches to social identity variables – sex and age – in a corpus of 14-million words of patient comments about NHS cancer services in England. The first approach utilises demographic tags to group comments according to patients' sex/age while the second involves categorising cases where patients disclose their sex/age in their comments. This Element compares the findings from either approach, with the approaches themselves being critically discussed in terms of their implications for corpus-aided studies of language and identity.

ISBN:
9781009033312
9781009033312
Category:
Sociolinguistics
Format:
Epub (Kobo), Epub (Adobe)
Publication Date:
31-07-2022
Language:
English
Publisher:
Cambridge University Press
Paul Baker

Paul Baker is a Professor of English Language at Lancaster University and has written over twenty books, for both academic and popular audiences.

These include Fabulosa: The Story of Polari, and Outrageous! The Story of Section 28 and the Battle for LGBT Education. Paul is a Fellow of the Royal Society of Arts and a Fellow of the Academy of Social Sciences.

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