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.
academictwitteR: an R package to access the Twitter Academic Research Product Track v2 API endpoint.Journal of Open Source Software., 6(62), page 3272, 2021
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.