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README.md
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---
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language: ar
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widget:
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- text: "للوقايه من عدم انتشار [MASK]"
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---
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# arabert_c19: An Arabert model pretrained on 1.5 million COVID-19 multi-dialect Arabic tweets
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**ARABERT COVID-19** is a pretrained (fine-tuned) version of the AraBERT v2 model (https://huggingface.co/aubmindlab/bert-base-arabertv02). The pretraining was done using 1.5 million multi-dialect Arabic tweets regarding the COVID-19 pandemic from the “Large Arabic Twitter Dataset on COVID-19” (https://arxiv.org/abs/2004.04315).
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The model can achieve better results for the tasks that deal with multi-dialect Arabic tweets in relation to the COVID-19 pandemic.
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# Classification results for multiple tasks including fake-news and hate speech detection when using arabert_c19 and mbert_ar_c19:
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For more details refer to the paper (link)
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| | arabert | mbert | distilbert multi | arabert Covid-19 | mbert Covid-19 |
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|------------------------------------|----------|----------|------------------|------------------|----------------|
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| Contains hate (Binary) | 0.8346 | 0.6675 | 0.7145 | `0.8649` | 0.8492 |
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| Talk about a cure (Binary) | 0.8193 | 0.7406 | 0.7127 | 0.9055 | `0.9176` |
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| News or opinion (Binary) | 0.8987 | 0.8332 | 0.8099 | `0.9163` | 0.9116 |
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| Contains fake information (Binary) | 0.6415 | 0.5428 | 0.4743 | `0.7739` | 0.7228 |
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# Preprocessing
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```python
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from arabert.preprocess import ArabertPreprocessor
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model_name="moha/arabert_c19"
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arabert_prep = ArabertPreprocessor(model_name=model_name)
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text = "للوقايه من عدم انتشار كورونا عليك اولا غسل اليدين بالماء والصابون وتكون عملية الغسل دقيقه تشمل راحة اليد الأصابع التركيز على الإبهام"
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arabert_prep.preprocess(text)
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```
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# Contacts
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**Hadj Ameur**: [Github](https://github.com/MohamedHadjAmeur) | <mohamedhadjameur@gmail.com> | <mhadjameur@cerist.dz>
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