Emotion Analysis in Spanish robertuito emotion analysis Repository: https://github.com/pysentimiento/pysentimiento/ Model trained with TASS 2020 Task 2 corpus for Emotion detection in Spanish. Base model is RoBERTuito, a RoBERTa model trained in Spanish tweets. Contains the six Ekman emotions plus a neutral class: anger disgust fear joy sadness surprise Results Results for the four tasks evaluated in pysentimiento . Results are expressed as Macro F1 scores model emotion hate speech irony sentiment : : : : : robertuito 0.560 ± 0.010 0.759 ± 0.007 0.739 ± 0.005 0.705 ± 0.003 roberta 0.527 ± 0.015 0.741 ± 0.012 0.721 ± 0.008 0.670 ± 0.006 bertin 0.524 ± 0.007 0.738 ± 0.007 0.713 ± 0.012 0.666 ± 0.005 beto uncased 0.532 ± 0.012 0.727 ± 0.016 0.701 ± 0.007 0.651 ± 0.006 beto cased 0.516 ± 0.012 0.724 ± 0.012 0.705 ± 0.009 0.662 ± 0.005 mbert uncased 0.493 ± 0.010 0.718 ± 0.011 0.681 ± 0.010 0.617 ± 0.003 biGRU 0.264 ± 0.007 0.592 ± 0.018 0.631 ± 0.011 0.585 ± 0.011 Note that for Hate Speech, these are the results for Semeval 2019, Task 5 Subtask B (HS+TR+AG detection) Citation If you use this model in your research, please cite pysentimiento, RoBERTuito and EmoEvent papers:
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