Text Classification Models for Review Task
Collection
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Model Info
This model was developed/finetuned for product review task for Turkish Language. Model was finetuned via hepsiburada.com product review dataset.
- LABEL_0: negative review
- LABEL_1: positive review
Model Sources
- Dataset: https://huggingface.co/datasets/anilguven/turkish_product_reviews_sentiment
- Demo-Coding [optional]: https://github.com/anil1055/Turkish_Product_Review_Analysis_with_Language_Models
- Finetuned from model [optional]: https://huggingface.co/dbmdz/distilbert-base-turkish-cased
Preprocessing
You must apply removing stopwords, stemming, or lemmatization process for Turkish.
Results
- auprc = 0.9720155023202002
- auroc = 0.9743030995629336
- eval_loss = 0.3418520176025824
- fn = 206
- fp = 226
- mcc = 0.8420573290530216
- tn = 2474
- tp = 2565
- Accuracy: %92.10
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