Keywords through time
Open Access
- 29 August 2022
- journal article
- research article
- Published by John Benjamins Publishing Company in Corpus Studies of Language Through Time
- Vol. 27 (4), 399-427
- https://doi.org/10.1075/ijcl.22011.cla
Abstract
This paper applies a new approach to the identification of discourses, based on Multiple Correspondence Analysis (MCA), to the study of discourse variation over time. The MCA approach to keywords deals with a major issue with the use of keywords to identify discourses: the allocation of individual keywords to multiple discourses. Yet, as this paper demonstrates, the approach also allows us to observe variation in the prevalence of discourses over time. The MCA approach to keywords allows the allocation of individual texts to multiple discourses based on patterns of keyword co-occurrence. Metadata in the corpus data analysed (here, UK newspaper articles about Islam) can then be used to map those discourses over time, resulting in a clear view of how the discourses vary relative to one another as time progresses. The paper argues that the drivers for these fluctuations are language external; the real-world events reported on in the newspapers.Keywords
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