(Together with Ralf Futselaar) In this presentation, we proposed a method to investigate changes in historical discourse by using large bodies of text and word embedding models. As a case study, we investigated discussions in Dutch Parliament about the punishment of war criminals in the period 1945-1975. We demonstrated how word embedding models, trained with Google’s Word2Vec algorithm, can be used to trace historical developments in parliamentary vocabulary through time.
The paper is published in the Proceedings of the Conference on Language Technologies & Digital Humanities 2018. The PowerPointPresentation can be downloaded here.