🌐 BETO Spanish Sentiment Analysis Model 📝🤖

📌 Summary in English: This sentiment analysis model is based on the BETO, a Spanish variant of BERT.

🎯📊 Model Performance

Accuracy in 3 categories: 67.59%
Classification Report:

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

📔🔗 Try it on Google Colab! 🌐

Model and Data Sources

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

License Disclaimer

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.