---
license: apache-2.0
language:
- sv
---

The National Library of Sweden/KBLab releases a robust, multi-label sentiment classifier finetuned on [Megatron-BERT-large-165K](https://huggingface.co/KBLab/megatron-bert-large-swedish-cased-165k). The model was trained on approximately 75K Swedish texts from multiple linguistic domains and datasets. 

There is a post on [the KBLab blog](https://kb-labb.github.io/posts/2023-06-16-a-robust-multi-label-sentiment-classifier-for-swedish/) describing the model in further detail. 

## Citation

```
@misc{hägglöf2023a,
  author = {Hägglöf, Hillevi},
  title = {The KBLab Blog: A robust, multi-label sentiment classifier for Swedish},
  url = {https://kb-labb.github.io/posts/2023-06-16-a-robust-multi-label-sentiment-classifier-for-swedish/},
  year = {2023}
}
```