DA-VINCIS - Classification of aggressive and violent incidents from social media in Spanish

Multi-label multi-class classification task in which the category(ies) of a violent incident must be identified. The incidents are mentioned in tweets in Mexican Spanish. The main aim of this task is to promote the research on developing automatic solutions for detecting violent events in social networks. The time frame elapsed between the occurrence of the event and when posted on social media, in this case, a lapse of 24 hours was defined as the maximum time for considering a tweet as reporting this kind of events. The following categories of violent incidents are considered: accident, murder, robbery and other.

Horacio Jarquín-Vásquez, Delia Irazú Hernández-Farías, Luis Joaquín Arellano, Hugo Jair Escalante, Luis Villaseñor-Pineda, Manuel Montes-y-Gómez, Fernando Sanchez-Vega (2023) Overview of DA-VINCIS at IberLEF 2023: Detection of Aggressive and Violent Incidents from Social Media in Spanish. Procesamiento del Lenguaje Natural, Revista nº 71, septiembre de 2023, pp. 351-360.

Task results

System F1
CIMAT 0.8421
BrauuHdzm 0.8048
ESCOM 0.8036
CICESE 0.8797
Thisjesusalan 0.8030
SINAI 0.8733
devjesus 0.7789
UC3M 0.8698
Arnold 0.8492
csuazob 0.8490

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.