Da Binary Emotion Classification Base

🚀 Danish BERT for Emotion Detection

This BERT emotion model can detect whether a Danish text is emotional. It is built upon the pre - trained Danish BERT model and fine - tuned on social media data.

🚀 Quick Start

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.

💻 Usage Examples

Basic Usage

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.

📄 License

The project is under the Apache - 2.0 license.