Urjc-team at emoevales 2021: Bert for emotion classification in spanish tweets

This paper describes the participation of the URJC-Team in the EmoEvalEs 2021 task of the IberLEF evaluation campaign. The task consists of classifying the emotion expressed in a tweet among seven different classes of emotion. Our proposal is based on transfer learning using BERT language modeling. We train three fine-tuned BERT models finally selecting for the submitted runs two of them, along with a system that combines all the models by means of an ensemble method. We obtained competitive results in the challenge, ranking fifth. Additional work needs to be done to improve the results.