Mirabal, Pedro, Hernández-Alvarado, Suilen, Abreu Salas, José Ignacio
Analyzing Sentiment, Attraction Type, and Country in Spanish Language TripAdvisor Reviews Using Language Models
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023), co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), Jaén, Spain, September 26, 2023. CEUR Workshop Proceedings, Vol-3496
URI: http://hdl.handle.net/10045/137841
DOI: 
ISSN: 1613-0073
Abstract: 
This paper describes our participation in the Rest-Mex 2023 Sentiment Analysis Task. We proposed an ensemble of (i) a cascade of transformer-based two-class classifiers biased to lowering the Mean Average Error in Polarity, and (ii) multi-class transformer-based classifiers for the prediction of the Type and Location of the messages. Our system achieved a sentiment track score of 0.719.
Keywords:Sentiment Analysis, Deep Learning, Transformer Models
CEUR
info:eu-repo/semantics/conferenceObject