The PoliticEs shared task consists of extracting the gender and the profession as demographic traits, and the political ideology as a psychographic trait from a given user’s set of tweets. Political ideology is considered as a binary (pib) and as a multi-class problem (pim). The possible categories of each trait are as follows:
- gender: male, female.
- profession: political, journalist.
- pib: left, right.
- pim: left, moderate left, right, moderate right.
Publication
José Antonio García-Díaz, Salud María Jiménez-Zafra, María-Teresa Martín Valdivia, Francisco García-Sánchez, L. Alfonso Ureña-López, Rafael Valencia-García (2022) Overview of PoliticEs 2022: Spanish Author Profiling for Political Ideology. Procesamiento del Lenguaje Natural, Revista nº 69, septiembre de 2022, pp. 265-272.
Language
Spanish
NLP topic
Abstract task
Dataset
Year
2022
Publication link
Ranking metric
Macro F1
Task results
System | MacroF1 Sort ascending |
---|---|
LosCalis | 0.9023 |
NLP-CIMAT | 0.8910 |
Alejandro Mosquera | 0.8892 |
CIMAT 2021 | 0.8798 |
HalBERT | 0.8253 |