Overview of PoliticES at IberLEF 2023Political Ideology Detection in Spanish Texts

  1. Ureña López, Luis Alfonso
  2. Valencia García, Rafael
  3. García Díaz, José Antonio
  4. Jiménez Zafra, Salud M.
  5. Martín Valdivia, María Teresa
  6. García Sánchez, Francisco
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Año de publicación: 2023

Número: 71

Páginas: 409-416

Tipo: Artículo

DIALNET GOOGLE SCHOLAR lock_openRUA editor

Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

Este artículo describe PoliticES 2023, una tarea organizada dentro del taller IberLEF 2023 en el marco de la 39 edición del Congreso Internacional de la Sociedad Española para el Procesamiento del Lenguaje Natural. Esta segunda edición de la tarea comparte el objetivo de la primera edición de PoliticES, extraer la ideología política y otros rasgos psicográficos y demográficos de usuarios en redes sociales. Las novedades son que este año los rasgos se extraen de clústers de textos de usuarios que comparten los mismos rasgos y que se ha incluido celebridades como tipo de profesión. Esta edición ha atraído a 43 equipos, de los cuales 11 enviaron resultados y 8 presentaron artículos describiendo sus sistemas. La mayoría de los participantes propusieron enfoques basados en Transformers, pero también otros utilizaron algoritmos tradicionales de aprendizaje automático.

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Fuente de los datos: Dialnet