Polarity classification

The aim of this task is to evaluate the impact of accurate negation detection in sentiment analysis. In this task, systems are expected to use the negation information contained in a corpus of reviews of movies, books and products (the SFU ReviewSP-NEG corpus) to classify each review as positive or negative. It is, therefore, a binary classification task.

Publication
Salud María Jiménez-Zafra, Noa Patricia Cruz Díaz, Roser Morante, María-Teresa Martín-Valdivia (2019) NEGES 2019 Task: Negation in Spanish. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019)
Competition
NEGES 2019 Task: Negation in Spanish
Language
Spanish
NLP topic
sentiment analysis
Abstract task
Classification
Dataset
NEGES
Year
2019
Publication link
http://ceur-ws.org/Vol-2421/N…
Ranking metric
F1

Task results

System Precision Recall F1 RMSE
LTG-OSLO 0.6590 0.6580 0.6585 0.0000

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.