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--- |
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language: "hr" |
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tags: |
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- text-classification |
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- sentiment-analysis |
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widget: |
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- text: "Potpredsjednik Vlade i ministar branitelja Tomo Medved komentirao je Vladine planove za zakonsku zabranu pozdrava 'za dom spremni'." |
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--- |
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# bcms-bertic-parlasent-bcs-bi |
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Binary text classification model based on [`classla/bcms-bertic`](https://huggingface.co/classla/bcms-bertic) and fine-tuned on the BCS Political Sentiment dataset. |
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This classifier classifies text into only two categories: Negative vs. Other. For the ternary classifier (Negative, Neutral, Positive) check [this model](https://huggingface.co/classla/bcms-bertic-parlasent-bcs-ter). |
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## Fine-tuning hyperparameters |
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Fine-tuning was performed with `simpletransformers`. Beforehand a brief sweep for the optimal number of epochs was performed and the presumed best value was 9. Other arguments were kept default. |
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```python |
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model_args = { |
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"num_train_epochs": 9 |
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} |
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``` |
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## Performance in comparison with ternary classifier |
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| model | average macro F1 | |
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|-------------------------------------------|------------------| |
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| bcms-bertic-parlasent-bcs-ter | 0.7941 ± 0.0101 | |
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| bcms-bertic-parlasent-bcs-bi (this model) | 0.8999 ± 0.012 | |
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## Citation |
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If you use the model, please cite the following paper on which the original model is based: |
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``` |
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@inproceedings{ljubesic-lauc-2021-bertic, |
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title = "{BERT}i{\'c} - The Transformer Language Model for {B}osnian, {C}roatian, {M}ontenegrin and {S}erbian", |
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author = "Ljube{\v{s}}i{\'c}, Nikola and Lauc, Davor", |
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booktitle = "Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing", |
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month = apr, |
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year = "2021", |
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address = "Kiyv, Ukraine", |
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publisher = "Association for Computational Linguistics", |
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url = "https://www.aclweb.org/anthology/2021.bsnlp-1.5", |
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pages = "37--42", |
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} |
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``` |
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