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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. More information on the datasets will be published on [the KBLab blog](https://kb-labb.github.io/).
 
 
 
 
 
 
 
 
 
 
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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. More information on the datasets will be published on [the KBLab blog](https://kb-labb.github.io/).
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+ ## Citation
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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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+ }