A BERTurk model fine-tuned on TREMO reaches about 92.6% accuracy on six Turkish emotion classes, and its predictions on 'Sessiz Istila' tweets suggest anger and surprise dominate the discourse.
Emotion analysis on Turkish texts
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Emotion Recognition for Low-Resource Turkish: Fine-Tuning BERTurk on TREMO and Testing on Xenophobic Political Discourse
A BERTurk model fine-tuned on TREMO reaches about 92.6% accuracy on six Turkish emotion classes, and its predictions on 'Sessiz Istila' tweets suggest anger and surprise dominate the discourse.