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--- |
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language: |
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- bg |
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metrics: |
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- f1 |
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- accuracy |
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- precision |
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- recall |
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base_model: |
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- rmihaylov/bert-base-bg |
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pipeline_tag: text-classification |
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license: apache-2.0 |
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datasets: |
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- sofia-uni/toxic-data-bg |
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- wikimedia/wikipedia |
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- oscar-corpus/oscar |
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- petkopetkov/chitanka |
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tags: |
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- bert |
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- not-for-all-audiences |
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- medical |
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--- |
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Toxic language classification model of Bulgarian language, based on the [bert-base-bg](https://huggingface.co/rmihaylov/bert-base-bg) model. |
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The model classifies between 4 classes: Toxic, MedicalTerminology, NonToxic, MinorityGroup. |
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Classification report: |
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| Accuracy | Precision | Recall | F1 Score | Loss Function | |
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|----------|-----------|--------|----------|---------------| |
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| 0.85 | 0.86 | 0.85 | 0.85 | 0.43 | |
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More information [in the paper](https://www.researchgate.net/publication/388842558_Detecting_Toxic_Language_Ontology_and_BERT-based_Approaches_for_Bulgarian_Text). |
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# Code and usage |
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For training files and information how to use the model, refer to the [GitHub repository of the project](https://github.com/TsvetoslavVasev/toxic-language-classification). |
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# Reference |
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If you use this model in your academic project, please cite as: |
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```bibtex |
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@article |
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{berbatova2025detecting, |
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doi={10.13140/RG.2.2.34963.18723} |
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title={Detecting Toxic Language: Ontology and BERT-based Approaches for Bulgarian Text}, |
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author={Berbatova, Melania and Vasev, Tsvetoslav}, |
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year={2025} |
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} |
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``` |
