readme: ---
  language:
  - da
  license: cc-by-sa-4.0
  widget:
  - text: Der er et træ i haven.
  ---
  
  # Danish BERT for emotion detection
  
  The BERT Emotion model detects whether a Danish text is emotional or not. 
  It is based on the pretrained [Danish BERT](https://github.com/certainlyio/nordic_bert) model by BotXO which has been fine-tuned on social media data. 
  
  See the [DaNLP documentation](https://danlp-alexandra.readthedocs.io/en/latest/docs/tasks/sentiment_analysis.html#bert-emotion) for more details. 
  
  
  Here is how to use the model:
  
  ```python
  from transformers import BertTokenizer, BertForSequenceClassification
  
  model = BertForSequenceClassification.from_pretrained("alexandrainst/da-binary-emotion-classification-base")
  tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-binary-emotion-classification-base")
  ```
  
  ## Training data
  
  The data used for training has not been made publicly available. It consists of social media data manually annotated in collaboration with Danmarks Radio.
  
  