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--- |
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license: mit |
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datasets: |
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- anilguven/turkish_news_dataset |
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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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tags: |
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- news |
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- classification |
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- turkish |
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- xlm-roberta |
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--- |
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### Information |
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This model was developed/finetuned for news classification task for the Turkish Language. This model was finetuned via news dataset. This dataset contains 7 classes: economy, magazine, sport, politics, technology, health, and events. |
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- LABEL_0: economy |
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- LABEL_1: magazine |
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- LABEL_2: health |
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- LABEL_3: politics |
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- LABEL_4: sports |
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- LABEL_5: technology |
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- LABEL_6: events |
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### Model Sources |
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- **Dataset:** https://huggingface.co/datasets/anilguven/turkish_news_dataset |
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- **Paper:** peer review (Springer) |
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- **Finetuned from model::** https://huggingface.co/Overfit-GM/xlm-roberta-large-turkish-offensive |
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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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- Accuracy: %95.595 |
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- F1-score: %95.586 |
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### Citation |
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BibTeX: |
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Peer review process |
