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 model by BotXO which has been fine-tuned on social media data.

See the DaNLP documentation for more details.

Here is how to use the model:

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.