COVID-19 Spanish 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 on COVID-19-related topics, achieving a 96% F1 score.