Debating Evil: Using Word Embeddings to Analyze Parliamentary Debates on War Criminals in The Netherlands

Research output: Contribution to conferencePaperScientificpeer-review

Abstract

We are proposing a method to investigate changes in historical discourse by using large bodies of text and word embedding models. As a case study, we investigate discussions in Dutch Parliament about the punishment of war criminals in the period 1945-1975. We will demonstrate how word embedding models, trained with Google’s Word2Vec algorithm, can be used to trace historical developments in parliamentary vocabulary through time.
Original languageEnglish
Pages147-153
Number of pages6
Publication statusPublished - 20 Sep 2018
EventConference on Language Technologies and Digital Humanities 2018 - Fakulteta za elektrotehniko, Univerza v Ljubljani, Ljubliana, Slovenia
Duration: 20 Sep 201821 Sep 2018
http://www.sdjt.si/jtdh-2018/

Conference

ConferenceConference on Language Technologies and Digital Humanities 2018
Abbreviated titleJTDH 2018
CountrySlovenia
CityLjubliana
Period20/09/201821/09/2018
Internet address

Keywords

  • penal history
  • digital humanities
  • word embedding models
  • language technologies
  • methodology
  • hermeneutics
  • war criminals
  • parliamentary history
  • discourse analysis

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