From parliamentary history to digital and computational history: a NLP-friendly TEI model for historical parliamentary proceedings
Abstract This article introduces a new method for the digital and computational analysis of historical parliamentary proceedings. The article presents an XML-TEI model specifically designed for encoding historical parliamentary documents; this model is exemplified through the analysis of parliamentary debates from the French Chamber of Deputies (1889–1893). The first part of the article discusses the motivations behind the model’s development. The second part outlines the methodological choices in constructing the model and the need for schema adaptation. We subsequently detail our method for automatic encoding of such large corpora. Finally, we propose an approach to annotate parliamentary debates using natural language processing analyses, focusing on topic modelling.
Authors
- Pierre Vernus
- Marie Puren (ORCID: https://orcid.org/0000-0001-5452-3913)
- Fanny Lebreton
- Aurélien Pellet (ORCID: https://orcid.org/0000-0003-1099-4419)
Institutions
- École Normale Supérieure de Lyon (FR)
- Université Lumière Lyon 2 (FR)
- École Nationale des Chartes (FR)
- École Pour l'Informatique et les Techniques Avancées (FR)
- École pour l'informatique et les nouvelles technologies (FR)
- Laboratoire de Recherche Historique Rhône-Alpes (FR)
- Université Jean Moulin Lyon III (FR)
- Université Grenoble Alpes (FR)
Publication Details
- Journal
- Digital Scholarship in the Humanities
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1093/llc/fqae071
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00