This RoBERTa based model can classify the sentiment of English language text in 3 classes: positive 😀 neutral 😐 negative 🙁 The model was fine tuned on 5,304 manually annotated social media posts. The hold out accuracy is 86.1%. For details on the training approach see Web Appendix F in Hartmann et al. (2021). Application Reference Please cite this paper when you use our model. Feel free to reach out to jochen.hartmann@tum.de with any questions or feedback you may have.
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