@prefix ltk: <http://data.loterre.fr/ark:/67375/LTK> .
@prefix ns0: <http://www.ebi.ac.uk/swo/> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .

ltk:-Z81XMN91-V
  ns0:SWO_0000085 ltk:-GNKTG9CB-6 ;
  dc:bibliographicCitation "• Slapin, J. B., & Proksch, S.-O. (2008). A scaling model for estimating time-series party positions from texts. American Journal of Political Science, 52(3), 705–722.  <a href=\"https://doi.org/10.1111/j.1540-5907.2008.00338.x\">https://doi.org/10.1111/j.1540-5907.2008.00338.x</a>" ;
  skos:definition "\"Wordfish is a Poisson scaling model of one-dimensional document positions (Slapin and Proksch 2008). Wordfish also allows for scaling documents, but compared to Wordscores reference scores/texts are not required. Wordfish is an unsupervised one-dimensional text scaling method, meaning that it estimates the positions of documents solely based on the observed word frequencies.\" (source: https://tutorials.quanteda.io/machine-learning/wordfish/)"@en, "Algorithme de mise à l'échelle unidimensionnelle de textes à partir des fréquences de mots générés selon une loi de Poisson."@fr ;
  a skos:Concept ;
  skos:inScheme ltk: ;
  skos:broader ltk:-W2HCDJWW-P ;
  skos:prefLabel "Wordfish"@en, "Wordfish"@fr .

ltk:-W2HCDJWW-P
  skos:prefLabel "classifieur bayésien naïf"@fr, "naive Bayes classifier"@en ;
  a skos:Concept ;
  skos:narrower ltk:-Z81XMN91-V .

ltk:-GNKTG9CB-6
  skos:prefLabel "quanteda"@en, "quanteda"@fr ;
  a skos:Concept ;
  ns0:SWO_0000740 ltk:-Z81XMN91-V .

ltk: a skos:ConceptScheme .