Measuring the Temporal Dimension of Text: An Application to Policymaker Speeches

David Byrne, Robert Goodhead, Michael McMahon and Conor Parle

No 17931, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: Discussions of time are central to many questions in the social sciences and to official announcements of policy. Despite the growing popularity of applying Natural Language Processing (NLP) techniques to social science research questions, before now there have been few attempts to measure expressions of time. This paper provides a methodology to measure the "third T of Text": the Time dimension. We also survey the techniques used to measure the other Ts, namely Topic and Tone. We document key stylised facts relating to temporal information in a corpus of policymaker speeches.

Keywords: Textual analysis; Communication (search for similar items in EconPapers)
JEL-codes: C55 C80 E58 (search for similar items in EconPapers)
Date: 2023-02
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Working Paper: Measuring the Temporal Dimension of Text: An Application to Policymaker Speeches (2023)
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