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  # Dataset
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  The following Turkish dataset is used for fine-tuning
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  https://huggingface.co/datasets/maydogan/TRSAv1
 
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  # Load model directly
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  # Citation
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  Please cite the following paper if needed
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- ```python
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- Arzu, M., & Aydoğan, M. (2023). Türkçe Duygu Sınıflandırma İçin Transformers Tabanlı Mimarilerin Karşılaştırılmalı Analizi. Computer Science, (IDAP-2023), 1-6.
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- }
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- ```
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  #### Summary
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  # Dataset
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  The following Turkish dataset is used for fine-tuning
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  https://huggingface.co/datasets/maydogan/TRSAv1
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+ TRSAv1 (Turkish Sentiment Analysis Version 1) Dataset This data set has been produced to contribute to Turkish NLP studies. The dataset consists of a total of 150 thousand samples, 50 thousand negative, 50 thousand positive and 50 thousand neutral. It can be used in text classification and sentiment analysis studies by citing the related study.
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  # Load model directly
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  # Citation
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  Please cite the following paper if needed
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  #### Summary
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