| Resumen |
Hope speech has the potential to mitigate hostile environments and alleviate illnesses and depression, making it crucial to detect automatically. In this paper, we present our submissions for the shared task HOPE at IberLEF 2024. This shared task encompasses two datasets: HopeEDI, consisting of tweets in Spanish, and PolyHope, which includes tweets in both English and Spanish. We proposed the use of custom BERT models, specifically pretrained on multilingual datasets and tailored for sentiment analysis. We achieved fourth, sixth and eighth place in the HopeEDI, PolyHope in Spanish, and PolyHope in English datasets, respectively, with respect of the Averaged F1 score. The code to reproduce our results can be found in https://github.com/JesusASmx/ometeotl-Hope2024 © 2024 Copyright for this paper by its authors. |
