ELiRF-UPV at TASS 2020: TWilBERT for Sentiment Analysis and Emotion Detection in Spanish Tweets

[EN] This paper describes the participation of the ELiRF research group of the Universitat Politècnica de València in the TASS 2020 Workshop, framed within the XXXVI edition of the International Conference of the Spanish Society for the Processing of Natural Language (SEPLN). We present the approach used for the Monolingual Sentiment Analysis and Emotion Detection tasks of the workshop, as well as the results obtained. Our participation has focused mainly on employing an adaptation of BERT for text classification on the Twitter domain and the Spanish language. This system, that we have called TWilBERT, shown systematic improvements of the state of the art in almost all the tasks framed in the SEPLN conference of previous years, and also obtains the most competitive performance in the tasks addressed in this work.This work has been partially supported by the Spanish MINECO and FEDER founds under project AMIC (TIN2017-85854-C4-2-R) and by the GiSPRO project (PROMETEU/2018/176). Work of José-Ángel González is financed by Universitat Politècnica de València under grant PAID-01-17.González-Barba, JÁ.; Arias-Moncho, J.; Hurtado Oliver, LF.; Pla Santamaría, F. (2020). ELiRF-UPV at TASS 2020: TWilBERT for Sentiment Analysis and Emotion Detection in Spanish Tweets. CEUR. 179-186. http://hdl.handle.net/10251/17855817918