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--- |
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license: unknown |
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datasets: |
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- anilguven/turkish_product_reviews_sentiment |
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language: |
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- tr |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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tags: |
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- turkish |
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- product |
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- review |
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- distilbert |
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- bert |
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--- |
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### Model Info |
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This model was developed/finetuned for product review task for Turkish Language. Model was finetuned via hepsiburada.com product review dataset. |
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- LABEL_0: negative review |
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- LABEL_1: positive review |
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### Model Sources |
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<!-- Provide the basic links for the model. --> |
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- **Dataset:** https://huggingface.co/datasets/anilguven/turkish_product_reviews_sentiment |
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- **Demo-Coding [optional]:** https://github.com/anil1055/Turkish_Product_Review_Analysis_with_Language_Models |
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- **Finetuned from model [optional]:** https://huggingface.co/dbmdz/distilbert-base-turkish-cased |
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#### Preprocessing |
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You must apply removing stopwords, stemming, or lemmatization process for Turkish. |
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### Results |
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- auprc = 0.9720155023202002 |
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- auroc = 0.9743030995629336 |
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- eval_loss = 0.3418520176025824 |
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- fn = 206 |
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- fp = 226 |
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- mcc = 0.8420573290530216 |
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- tn = 2474 |
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- tp = 2565 |
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- Accuracy: %92.10 |
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