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language: sv |
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license: mit |
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## Swedish BERT models for sentiment analysis, Sentiment targets. |
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[Recorded Future](https://www.recordedfuture.com/) together with [AI Sweden](https://www.ai.se/en) releases a Named Entity Recognition(NER) model for entety detection in Swedish. The model is based on [KB/bert-base-swedish-cased](https://huggingface.co/KB/bert-base-swedish-cased) and finetuned on data collected from various internet sources and forums. |
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The model has been trained on Swedish data and only supports inference of Swedish input texts. The models inference metrics for all non-Swedish inputs are not defined, these inputs are considered as out of domain data. |
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The current models are supported at Transformers version >= 4.3.3 and Torch version 1.8.0, compatibility with older versions are not verified. |
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### Available tags |
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* Location |
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* Organization |
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* Person |
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* Religion |
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* Title |
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### Evaluation metrics |
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The model had the following metrics when evaluated on test data originating from the same domain as the training data. |
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#### F1-score |
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| Loc | Org | Per | Nat | Rel | Tit | Total | |
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|------|------|------|------|------|------|-------| |
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| 0.91 | 0.88 | 0.96 | 0.95 | 0.91 | 0.84 | 0.92 | |
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