hkucukali/berturk-tobacco-control

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()])