metadata
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" }