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---
license: lgpl-3.0
language:
- fa
base_model:
- HooshvareLab/bert-base-parsbert-uncased
---
# SINA-BERT: A Pre-trained Language Model for Analysis of Medical Texts in Persian
SINA-BERT is the first Persian medical language model pre-trained on BERT (Devlin et al.,2018). SINA-BERT utilizes pre-training on a large-scale corpus of medical contents including formal and informal texts collected from a variety of online resources in order to improve the performance on health-care related tasks.
## Model Evaluation
SINA-BERT can be used for any Persian medical representative task. In our paper we have examined the followings:
1) categorization of medical questions,
2) medical sentiment analysis,
3) and medical question retrieval.
For each task, we have developed Persian annotated data sets, and learnt a representation for the data of each task especially complex and long medical questions. With the same architecture being used across tasks, SINA-BERT outperforms BERT-based models that were previously made available in the Persian language.
To read about the datasets and results, please refer to SINA-BERT paper: [arXiv:2104.07613v1](https://arxiv.org/pdf/2104.07613)
- **Developed by:** HooshAfzar Salamat Team
- **Language(s) (NLP):** Persian
- **Finetuned from model:** [ParsBert](https://huggingface.co/HooshvareLab/bert-base-parsbert-uncased)
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [GitHub](https://github.com/nasrin-taghizadeh/SinaBERT)
- **Paper [optional]:** [arXive paper](https://arxiv.org/pdf/2104.07613)
## How to use
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
```
from transformers import AutoConfig, AutoTokenizer, AutoModel
config = AutoConfig.from_pretrained("hooshafzar/SINA-BERT")
tokenizer = AutoTokenizer.from_pretrained("hooshafzar/SINA-BERT")
model = AutoModel.from_pretrained("hooshafzar/SINA-BERT")
```
## 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{taghizadeh2021sina,
title={SINA-BERT: a pre-trained language model for analysis of medical texts in Persian},
author={Taghizadeh, Nasrin and Doostmohammadi, Ehsan and Seifossadat, Elham and Rabiee, Hamid R and Tahaei, Maedeh S},
journal={arXiv preprint arXiv:2104.07613},
year={2021}
}
```
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