Keywords through time

نویسندگان

چکیده

Abstract This paper applies a new approach to the identification of discourses, based on Multiple Correspondence Analysis (MCA), study discourse variation over time. The MCA keywords deals with major issue use identify discourses: allocation individual multiple discourses. Yet, as this demonstrates, also allows us observe in prevalence discourses texts patterns keyword co-occurrence. Metadata corpus data analysed (here, UK newspaper articles about Islam) can then be used map those time, resulting clear view how vary relative one another time progresses. argues that drivers for these fluctuations are language external; real-world events reported newspapers.

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ژورنال

عنوان ژورنال: International Journal of Corpus Linguistics

سال: 2022

ISSN: ['1569-9811', '1384-6655']

DOI: https://doi.org/10.1075/ijcl.22011.cla