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ignacio-ave/beto-sentiment-analysis-spanish
beto-sentiment-analysis-spanish is a text classification model from ignacio-ave. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
📌 Summary in English: This sentiment analysis model is based on the BETO, a Spanish variant of BERT.
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From the Hugging Face model README
📌 Summary in English: This sentiment analysis model is based on the BETO, a Spanish variant of BERT.
| Sentiment | Precision | Recall | F1-Score | Support |
|---|---|---|---|---|
| Negative | 0.64 | 0.72 | 0.68 | 15844 |
| Neutral | 0.64 | 0.54 | 0.58 | 22721 |
| Positive | 0.73 | 0.79 | 0.76 | 22233 |
| Weighted Avg | 0.67 | 0.68 | 0.67 | 60798 |
Cañete, J., Chaperon, G., Fuentes, R., Pérez, J., & Bustos, B. (2020). Spanish Pre-Trained BERT Model and Evaluation Data. Recuperado de https://arxiv.org/abs/2308.02976
SEPLN TASS (2012). Workshop on Semantic Analysis at SEPLN
The license CC BY 4.0 best describes our intentions for our work. However we are not sure that all the datasets used to train BETO have licenses compatible with CC BY 4.0 (specially for commercial use). Please use at your own discretion and verify that the licenses of the original text resources match your needs.