metadata
license: apache-2.0
This model is based on the multilingual version of BERT, specifically google-bert/bert-base-multilingual-cased, and has been fine-tuned to classify negative emotions in Spanish tweets.
The fine-tuning was performed using a labeled corpus available from the IPN CIC repository https://www.cic.ipn.mx/~sidorov/corpus_marcado6emociones.txt, which contains Spanish tweets annotated with six emotions.
For this model, only the four negative emotions defined by Ekman were used:
0 → Anger
1 → Disgust
2 → Fear
3 → Sadness
The model is designed to support tasks in emotion detection and sentiment analysis in Spanish. An example of how to use the model is available at:
https://colab.research.google.com/drive/1FBvOoaWt2xh405iyH3zhOnUpdPxr46GR?usp=sharing