| language: | |
| - da | |
| tags: | |
| - bert | |
| - pytorch | |
| - emotion | |
| license: CC-BY_4.0 | |
| datasets: | |
| - social media | |
| metrics: | |
| - f1 | |
| 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("DaNLP/da-bert-emotion-binary") | |
| tokenizer = BertTokenizer.from_pretrained("DaNLP/da-bert-emotion-binary") | |
| ``` | |
| ## 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. | |