Machine Learning as a tool for political speech analysis

Femke A.W.J. van Esch, Tejaswini Deoskar, Jeroen Snellens, Sven Van der Burg, Shoamu Tan, Erik Tjong Kim Sang

Research output: Non-textual formWeb publication/siteAcademic

Abstract

One of the main tasks of political leaders is to speak. Political scientists often analyze speeches in terms of their rhetoric and ability to impress the crowds. But speeches also have other functions: The speaker usually tries to help the audience make sense of the world (we refer to this function as puzzling), as well as to influence the actions of other political actors (we refer to this as powering). Understanding the powering and puzzling function of speech-acts can be as crucial as understanding political decision making.
Original languageEnglish
PublisherNetherlands E-science Center
Media of outputOnline
Publication statusPublished - 15 Dec 2022

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