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--- |
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language: en |
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tag: text-classification |
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datasets: |
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- twitter |
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- movies subtitles |
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--- |
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# bert-based-uncased-hatespeech-movies: |
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A hatespeech model used to classify text as **normal**, **offensive**, **hatespeech** in Movie subtitles. The model is initially a pre-trained transformer model(bert-based-uncased) which is further trained on Twitter comments which can be normal, offensive and hate to learn the context from social media data. It is then fine-tuned using the movie subtitles dataset. |
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Please check our paper and if used please cite |
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``` |
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@article{von2021hateful, |
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title={How Hateful are Movies? A Study and Prediction on Movie Subtitles}, |
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author={von Boguszewski, Niklas and Moin, Sana and Bhowmick, Anirban and Yimam, Seid Muhie and Biemann, Chris}, |
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journal={arXiv preprint arXiv:2108.10724}, |
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year={2021} |
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} |
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``` |
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The dataset and models are available on https://github.com/uhh-lt/hatespeech |
