Mexican Boxing Sentiment Polarity Analyzer (2025)

Trained a multimodal model combining text and images, based on BETO and a Vision Transformer, to perform sentiment-polarity analysis of Spanish social-media posts about the boxing fights of Mexican fighter Saúl «Canelo» Álvarez, achieving a 77.76% F1 score.