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--- |
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license: apache-2.0 |
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language: |
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- sv |
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--- |
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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. |
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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. |
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## Citation |
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``` |
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@misc{hägglöf2023a, |
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author = {Hägglöf, Hillevi}, |
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title = {The KBLab Blog: A robust, multi-label sentiment classifier for Swedish}, |
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url = {https://kb-labb.github.io/posts/2023-06-16-a-robust-multi-label-sentiment-classifier-for-swedish/}, |
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year = {2023} |
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} |
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``` |
