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--- |
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license: unknown |
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datasets: |
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- anilguven/turkish_product_reviews_sentiment |
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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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- recall |
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- precision |
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tags: |
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- turkish |
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- product |
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- electra |
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- bert |
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- review |
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--- |
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### Model Info |
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This model was developed/finetuned for product review task for Turkish Language. Model was finetuned via hepsiburada.com product review dataset. |
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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_product_reviews_sentiment |
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- **Paper:** https://ieeexplore.ieee.org/document/9559007 |
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- **Demo-Coding [optional]:** https://github.com/anil1055/Turkish_Product_Review_Analysis_with_Language_Models |
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- **Finetuned from model [optional]:** https://huggingface.co/dbmdz/electra-base-turkish-cased-discriminator |
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## How to Get Started with the Model |
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from transformers import pipeline |
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pipe = pipeline("text-classification", model="anilguven/electra_tr_turkish_product_reviews") |
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or |
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from transformers import AutoTokenizer, AutoModelForSequenceClassification |
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tokenizer = AutoTokenizer.from_pretrained("anilguven/electra_tr_turkish_product_reviews") |
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model = AutoModelForSequenceClassification.from_pretrained("anilguven/electra_tr_turkish_product_reviews") |
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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: %92.54 |
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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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@INPROCEEDINGS{9559007, |
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author={Guven, Zekeriya Anil}, |
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booktitle={2021 6th International Conference on Computer Science and Engineering (UBMK)}, |
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title={The Effect of BERT, ELECTRA and ALBERT Language Models on Sentiment Analysis for Turkish Product Reviews}, |
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year={2021}, |
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volume={}, |
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number={}, |
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pages={629-632}, |
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keywords={Computer science;Sentiment analysis;Analytical models;Computational modeling;Bit error rate;Time factors;Random forests;Sentiment Analysis;Language Model;Product Review;Machine Learning;E-commerce}, |
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doi={10.1109/UBMK52708.2021.9559007}} |
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**APA:** |
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Guven, Z. A. (2021, September). The effect of bert, electra and albert language models on sentiment analysis for turkish product reviews. In 2021 6th International Conference on Computer Science and Engineering (UBMK) (pp. 629-632). IEEE. |
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