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 language | English |
|---|---|
| Pages (from-to) | 140-156 |
| Number of pages | 17 |
| Journal | Prispevki za Novejso Zgodovino |
| Volume | 59 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 7 Jun 2019 |
Bibliographical note
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Research programs
- ESHCC HIS