
# 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
{"language": "en", "datasets": ["twitter", "movies subtitles"], "tag": "text-classification"}
transformers tf bert text-classification en autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #tf #bert #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 


# 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

The dataset and models are available on URL
# 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

The dataset and models are available on URL
TAGS
#transformers #tf #bert #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 
 # 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

The dataset and models are available on URL
passage: TAGS
#transformers #tf #bert #text-classification #en #autotrain_compatible #endpoints_compatible #region-us 
# 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

The dataset and models are available on URL