| language: az | |
| license: mit | |
| tags: | |
| - sentiment-analysis | |
| - azerbaijani | |
| - bert | |
| datasets: | |
| - hajili/azerbaijani_review_sentiment_classification | |
| base_model: allmalab/bert-base-aze | |
| metrics: | |
| - accuracy | |
| - f1 | |
| # AzSentiment - Azerbaijani Sentiment Analysis | |
| Fine-tuned aLLMA-BASE model for binary sentiment classification of Azerbaijani customer reviews. | |
| ## Model Performance | |
| | Metric | Test Score | | |
| |--------|------------| | |
| | Accuracy | 93.3% | | |
| | F1 Score | 96.2% | | |
| ## Usage | |
| from transformers import pipeline | |
| classifier = pipeline("text-classification", model="StartZer0/az-sentiment-bert") | |
| classifier("Bu mehsul cox yaxsidir!") | |
| ## Citation | |
| @inproceedings{isbarov-etal-2024-open, | |
| title = "Open foundation models for Azerbaijani language", | |
| author = "Isbarov, Jafar and Huseynova, Kavsar and Mammadov, Elvin and Hajili, Mammad and Ataman, Duygu", | |
| booktitle = "SIGTURK 2024", | |
| year = "2024", | |
| url = "https://aclanthology.org/2024.sigturk-1.2" | |
| } | |