Metaphor Development in Public Discourse Using an ARIMA Time Series Analysis Approach

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Abstract

This study introduces a Time Series Analysis approach to metaphor development in a corpus of public discourse as a case study to examine the potential implications for the strategic use of metaphors in discourse over time. The corpus covers 20 years of public speeches by the government leaders in Hong Kong. We conducted an ARIMA time series modeling on the use of the frequently occurring metaphor source domains in the corpus. The ARIMA time series modeling procedures were explicitly presented, and the results were qualitatively discussed with empirical examples. We found that LIVING ORGANISM metaphors demonstrate the clearest usage profile across time, which can be attributable to the progressions of background events in the broad context based on the corpus evidence. In sum, our study emphasizes the Time Series Analysis as a complementary method offering structural insights to the diachronic study of metaphors in discourse.

Original languageEnglish
Pages563-571
Number of pages9
Publication statusPublished - Nov 2021
Event35th Pacific Asia Conference on Language, Information and Computation, PACLIC 2021 - Shanghai, China
Duration: 5 Nov 20217 Nov 2021

Conference

Conference35th Pacific Asia Conference on Language, Information and Computation, PACLIC 2021
Country/TerritoryChina
CityShanghai
Period5/11/217/11/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Linguistics and Language

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