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license: apache-2.0
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license: apache-2.0
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### Abusive Langauge, Hate Speech and Profanity Detection System using Pre-trained BERT models
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This is an application for detecting abusive language, hate speech and profanity in a text speech using pre-trained Bert Transfomer based models found at [Hugging Facing Hub](https://huggingface.co). The models used are as follow:
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- Abusive Language: **[Hate-speech-CNERG/english-abusive-MuRIL](https://huggingface.co/Hate-speech-CNERG/english-abusive-MuRIL)** A model trained for detecting abusive speech in English. It is finetuned on MuRIL model using English abusive speech dataset
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- Hate Speech: **[GroNLP/hateBERT](https://huggingface.co/GroNLP/hateBERT)** an English pre-trained BERT model obtained by further training the English BERT base uncased model with more than 1 million posts from banned communites from Reddit. The model has been developed as a collaboration between the University of Groningen, the university of Turin, and the University of Passau.
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- Profanity: **[tarekziade/pardonmyai](https://huggingface.co/tarekziade/pardonmyai)** a Fine-tuned model that detects profanity in text.
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