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language: fa |
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license: apache-2.0 |
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--- |
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# ParsBERT (v2.0) |
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A Transformer-based Model for Persian Language Understanding |
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We reconstructed the vocabulary and fine-tuned the ParsBERT v1.1 on the new Persian corpora in order to provide some functionalities for using ParsBERT in other scopes! |
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Please follow the [ParsBERT](https://github.com/hooshvare/parsbert) repo for the latest information about previous and current models. |
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## Persian Sentiment [Digikala, SnappFood, DeepSentiPers] |
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It aims to classify text, such as comments, based on their emotional bias. We tested three well-known datasets for this task: `Digikala` user comments, `SnappFood` user comments, and `DeepSentiPers` in two binary-form and multi-form types. |
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### SnappFood |
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[Snappfood](https://snappfood.ir/) (an online food delivery company) user comments containing 70,000 comments with two labels (i.e. polarity classification): |
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1. Happy |
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2. Sad |
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| Label | # | |
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|:--------:|:-----:| |
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| Negative | 35000 | |
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| Positive | 35000 | |
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**Download** |
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You can download the dataset from [here](https://drive.google.com/uc?id=15J4zPN1BD7Q_ZIQ39VeFquwSoW8qTxgu) |
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## Results |
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The following table summarizes the F1 score obtained by ParsBERT as compared to other models and architectures. |
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| Dataset | ParsBERT v2 | ParsBERT v1 | mBERT | DeepSentiPers | |
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|:------------------------:|:-----------:|:-----------:|:-----:|:-------------:| |
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| SnappFood User Comments | 87.98 | 88.12* | 87.87 | - | |
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## How to use :hugs: |
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| Task | Notebook | |
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|---------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |
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| Sentiment Analysis | [](https://colab.research.google.com/github/hooshvare/parsbert/blob/master/notebooks/Taaghche_Sentiment_Analysis.ipynb) | |
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### BibTeX entry and citation info |
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Please cite in publications as the following: |
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```bibtex |
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@article{ParsBERT, |
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title={ParsBERT: Transformer-based Model for Persian Language Understanding}, |
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author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri}, |
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journal={ArXiv}, |
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year={2020}, |
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volume={abs/2005.12515} |
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} |
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``` |
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## Questions? |
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Post a Github issue on the [ParsBERT Issues](https://github.com/hooshvare/parsbert/issues) repo. |
