Overview of PoliticEs 2022:Spanish Author Profiling for Political Ideology

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

ISSN: 1135-5948

Año de publicación: 2022

Número: 69

Páginas: 265-272

Tipo: Artículo

DIALNET GOOGLE SCHOLAR lock_openRUA editor

Otras publicaciones en: Procesamiento del lenguaje natural

Resumen

Este artículo presenta la tarea PoliticEs 2022, organizada en el taller IberLEF 2022, en el marco de la 38 edición del Congreso Internacional de la Sociedad Española para el Procesamiento del Lenguaje Natural. Esta tarea tiene como objetivo extraer la ideología política de un usuario a partir de un conjunto de tuits publicados por él. En concreto, se centró en la identificación del género y la profesión, como rasgos demográficos, y la ideología política desde una perspectiva binaria y multiclase, como rasgo psicográfico. La tarea PoliticEs atrajo a 63 equipos que se inscribieron a través de CodaLab. Finalmente, 20 enviaron resultados y 14 presentaron artículos describiendo sus sistemas. La mayoría de los equipos propusieron enfoques basados en transformers, aunque algunos de ellos también utilizaron algoritmos tradicionales de aprendizaje automático o incluso una combinación de ambos enfoques.

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Fuente de los datos: Dialnet