readme: ---
  language: en
  tag: text-classification
  datasets:
  - twitter
  - movies subtitles
  ---
  
  # bert-based-uncased-hatespeech-movies: 
  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.
  
  Please check our paper and if used please cite
  ```
  @article{von2021hateful,
    title={How Hateful are Movies? A Study and Prediction on Movie Subtitles},
    author={von Boguszewski, Niklas and Moin, Sana and Bhowmick, Anirban and Yimam, Seid Muhie and Biemann, Chris},
    journal={arXiv preprint arXiv:2108.10724},
    year={2021}
  }
  ```
  The dataset and models are available on https://github.com/uhh-lt/hatespeech