URJC-Team at HOPE2023@IberLEF: Multilingual Hope Speech Detection Using Transformers Architecture

Detecting Hope Speech refers to identifying content in natural language that provokes optimism in people's minds, encouraging them to improve their life. This type of speech has a relevant target in our society, offering supporting messages for people suffering from depression, stress and loneliness. Despite its relevance, a significant number of published studies address to recognise the flip side of the coin, hate speech. This work describes our contribution to the HOPE challenge, i.e., detecting hope speech content in Spanish and English texts. Two different transform models are proposed to tackle the subtasks suggested in the challenge. Our proposal reaches notable results.