Update README.md

README.md

@@ -13,4 +13,55 @@ tags:
 - turkish
 - bert
 - sentiment
----
+---
+### Model Info
+
+This model was developed/finetuned for movie review task for the Turkish Language. This model was finetuned via the Turkish movie review dataset. 
+- LABEL_0: positive review
+- LABEL_1: negative review
+
+### Model Sources
+
+<!-- Provide the basic links for the model. -->
+
+- **Dataset:** http://humirapps.cs.hacettepe.edu.tr/tsad.aspx
+- **Paper:** https://dl.acm.org/doi/10.1145/3557892
+- **Demo-Coding [optional]:** https://github.com/anil1055/Turkish_Sentiment_Analysis-Hotel-and-Movie-Reviews/tree/main
+- **Finetuned from model [optional]:** https://huggingface.co/loodos/albert-base-turkish-uncased
+
+#### Preprocessing 
+
+You must apply removing stopwords, stemming, or lemmatization process for Turkish.
+
+### Results
+
+- Accuracy: %91.71
+
+## Citation
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+*@article{10.1145/3557892,
+author = {Guven, Zekeriya Anil},
+title = {The Comparison of Language Models with a Novel Text Filtering Approach for Turkish Sentiment Analysis},
+year = {2022},
+issue_date = {February 2023},
+publisher = {Association for Computing Machinery},
+address = {New York, NY, USA},
+volume = {22},
+number = {2},
+issn = {2375-4699},
+url = {https://doi.org/10.1145/3557892},
+doi = {10.1145/3557892},
+journal = {ACM Trans. Asian Low-Resour. Lang. Inf. Process.},
+month = {dec},
+articleno = {55},
+numpages = {16},
+keywords = {Language model, sentiment analysis, social network, natural language processing, text classification, data analysis}
+}*
+
+**APA:**
+
+*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.*