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  - turkish
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  - electra
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  - sentiment
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - turkish
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  - electra
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  - sentiment
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+ ---
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+ ### Model Info
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+
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+ This model was developed/finetuned for movie review task for the Turkish Language. This model was finetuned via the Turkish movie review dataset.
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+ - LABEL_0: positive review
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+ - LABEL_1: negative review
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+
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+ ### Model Sources
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Dataset:** http://humirapps.cs.hacettepe.edu.tr/tsad.aspx
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+ - **Paper:** https://dl.acm.org/doi/10.1145/3557892
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+ - **Demo-Coding [optional]:** https://github.com/anil1055/Turkish_Sentiment_Analysis-Hotel-and-Movie-Reviews/tree/main
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+ - **Finetuned from model [optional]:** https://huggingface.co/dbmdz/electra-base-turkish-cased-discriminator
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+
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+ #### Preprocessing
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+
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+ You must apply removing stopwords, stemming, or lemmatization process for Turkish.
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+
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+ ### Results
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+
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+ - auprc = 0.9746603304059135
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+ - auroc = 0.9755918528805285
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+ - eval_loss = 0.3568813125744164
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+ - fn = 1004
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+ - fp = 1130
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+ - mcc = 0.840187235364828
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+ - tn = 12220
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+ - tp = 12346
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+ - Accuracy: %92.21
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+
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+ ## Citation
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+
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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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+
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+ **BibTeX:**
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+
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+ *@article{10.1145/3557892,
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+ author = {Guven, Zekeriya Anil},
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+ title = {The Comparison of Language Models with a Novel Text Filtering Approach for Turkish Sentiment Analysis},
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+ year = {2022},
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+ issue_date = {February 2023},
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+ publisher = {Association for Computing Machinery},
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+ address = {New York, NY, USA},
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+ volume = {22},
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+ number = {2},
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+ issn = {2375-4699},
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+ url = {https://doi.org/10.1145/3557892},
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+ doi = {10.1145/3557892},
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+ journal = {ACM Trans. Asian Low-Resour. Lang. Inf. Process.},
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+ month = {dec},
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+ articleno = {55},
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+ numpages = {16},
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+ keywords = {Language model, sentiment analysis, social network, natural language processing, text classification, data analysis}
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+ }*
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+
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+ **APA:**
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+
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+ *Guven, Z. A. (2022). The Comparison of Language Models with a Novel Text Filtering Approach for Turkish Sentiment Analysis. ACM Transactions on Asian and Low-Resource Language Information Processing, 22(2), 1-16.*