General polarity at three levels

The goal of this task is to classify tweets into three levels of polarity: positive, negative and neutral. Tweets are written in different variants of the Spanish language: (ES-Spain, CR-Costa Rica, PE-Peru, UY-Uruguay and MX-Mexico).

Publication
Manuel García-Vega, Manuel Carlos Díaz-Galiano, Miguel Á. García-Cumbreras, Flor Miriam Plaza del Arco, Arturo Montejo-Ráez, Salud María Jiménez-Zafra, Eugenio Martínez Cámara, César Antonio Aguilar, Marco Antonio (2020) Overview of TASS 2020. Introducing emotion detection. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 202
Competition
Semantic Analysis at SEPLN (TASS)
Language
Spanish (Costa Rica)
Spanish (Mexico)
Spanish (Peru)
Spanish (Spain)
Spanish (Uruguay)
URL Task
http://tass.sepln.org/2020/#tasks
NLP topic
sentiment analysis
Abstract task
Classification
Dataset
InterTASS 2020
Year
2020
Publication link
http://ceur-ws.org/Vol-2664/t…
Ranking metric
Macro F1

Task results

System MacroPrecision MacroRecall MacroF1
Palomino-Ochoa 0.4870 0.5100 0.4980
ELiRF-UPV 0.3590 0.3570 0.3580

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.