BERTurk for Tobacco Control
This model is fine-tuned to identify tobacco-promoting tweets in Turkish.
It is based on a BERT model pretrained in Turkish: BERTurk (uncased).
Performance
| Metric | Value |
|---|---|
| Accuracy | 81.7% |
| PPV (Precision) | 81.1% |
| Sensitivity (Recall) | 87.8% |
| Specificity | 73.9% |
| F1 Score | 84.3% |
| Pearson’s phi (MCC) | 0.63 |
| Cohen’s kappa | 0.62 |
Usage
from simpletransformers.classification import ClassificationModel
model = ClassificationModel(
'bert',
'hkucukali/berturk-tobacco-control',
use_cuda=False,
num_labels=2,
)
prediction, probability = model.predict([tweet_text.lower()])
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Model tree for hkucukali/berturk-tobacco-control
Base model
dbmdz/bert-base-turkish-uncased