Rest-Mex: Sentiment Analysis Task for Mexican Tourist Texts

Given an opinion about a Mexican tourist place, the goal is to determine the polarity, between 1 and 5, of the text, the type of opinion (hotel, restaurant or attraction) and, the country of the place of which the opinion is being given (Mexico, Cuba, Colombia) 

Publication
Miguel Ángel Álvarez-Carmona, Ángel Díaz-Pacheco, Ramón Aranda, Ansel Yoan Rodríguez-González, Victor Muñiz-Sánchez, Adrián Pastor López-Monroy, Fernando Sánchez-Vega, Lázaro Bustio-Martínez (2023) Overview of Rest-Mex at IberLEF 2023: Research on Sentiment Analysis Task for Mexican Tourist Texts. Procesamiento del Lenguaje Natural, Revista nº 71, septiembre de 2023, pp. 425-436.
Competition
Rest-Mex 2023: Research on Sentiment Analysis Task for Mexican Tourist Texts
Language
Spanish
URL Task
https://sites.google.com/cimat.mx/rest-mex2023
NLP topic
sentiment analysis
Abstract task
Classification
Dataset
Rest-Mex 2023 Sentiment
Year
2023
Publication link
http://journal.sepln.org/sepl…

Task results

System MacroF1
BUAP 0.7800
UC3M 0.7700
UNAM 0.7500
INGEOTEC 0.7400
UCT 0.7200
BUAA 0.7100
CIMAT 0.7100
SENA 0.7000
UMSNH 0.6900
UC3M 0.6900

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.