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--- |
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license: unknown |
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datasets: |
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- anilguven/turkish_spam_email |
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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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- spam |
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- ham |
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- email |
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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 spam detection task for Turkish Language. This model was finetuned via spam/ham email dataset. |
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- LABEL_0: ham/normal mail |
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- LABEL_1: spam mail |
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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_spam_email |
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- **Paper:** https://dergipark.org.tr/tr/pub/ejosat/issue/75736/1234079 |
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- **Demo-Coding [optional]:** https://github.com/anil1055/Turkish_spam_email_detection_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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# Model Load safetensors |
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<!-- Provide a quick summary of what the model is/does. --> |
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Detailed https://huggingface.co/docs/diffusers/using-diffusers/using_safetensors |
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### Results |
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- F1-score: %94.00 |
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- Accuracy: %93.60 |
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## Citation |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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*@article{article_1234079, title={Türkçe E-postalarda Spam Tespiti için Makine Öğrenme Yöntemlerinin ve Dil Modellerinin Analizi}, journal={Avrupa Bilim ve Teknoloji Dergisi}, pages={1–6}, year={2023}, DOI={10.31590/ejosat.1234079}, author={GÜVEN, Zekeriya Anıl}, keywords={Siber Güvenlik, Spam Tespiti, Dil Modeli, Makine Öğrenmesi, Doğal Dil İşleme, Metin Sınıflandırma, Cyber Security, Spam Detection, Language Model, Machine Learning, Natural Language Processing, Text Classification}, number={47}, publisher={Osman SAĞDIÇ} }* |
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**APA:** |
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*GÜVEN, Z. A. (2023). Türkçe E-postalarda Spam Tespiti için Makine Öğrenme Yöntemlerinin ve Dil Modellerinin Analizi. Avrupa Bilim ve Teknoloji Dergisi, (47), 1-6.* |
