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---
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license: mit
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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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tags:
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- news
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- classification
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- text
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- turkish
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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/loodos/albert-base-turkish-uncased
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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: %96.310
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- F1-score: %96.316
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### Citation
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BibTeX:
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Peer review process
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APA:
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Peer review process
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