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--- |
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language: |
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- sk |
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tags: |
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- twitter |
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license: cc |
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metrics: |
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- f1 |
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widget: |
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- text: "Najkrajšia vianočná reklama: Toto milé video vám vykúzli čarovnú atmosféru: Vianoce sa nezadržateľne blížia." |
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- text: "A opäť sa objavili nebezpečné výrobky. Pozrite sa, či ich nemáte doma" |
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--- |
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# Sentiment Analysis model based on SlovakBERT |
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This is a sentiment analysis classifier based on [SlovakBERT](https://huggingface.co/gerulata/slovakbert). The model can distinguish three level of sentiment: |
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- `-1` - Negative sentiment |
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- `0` - Neutral sentiment |
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- `1` - Positive setiment |
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The model was fine-tuned using Slovak part of [Multilingual Twitter Sentiment Analysis Dataset](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155036) [Mozetič et al 2016] containing 50k manually annotated Slovak tweets. As such, it is fine-tuned for tweets and it is not advised to use the model for general-purpose sentiment analysis. |
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## Results |
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The model was evaluated in [our paper](https://arxiv.org/abs/2109.15254) [Pikuliak et al 2021, Section 4.4]. It achieves \\(0.67\\) F1-score on the original dataset and \\(0.58\\) F1-score on general reviews dataset. |
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## Cite |
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``` |
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@article{DBLP:journals/corr/abs-2109-15254, |
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author = {Mat{\'{u}}{\v{s}} Pikuliak and |
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{\v{S}}tefan Grivalsk{\'{y}} and |
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Martin Kon{\^{o}}pka and |
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Miroslav Bl{\v{s}}t{\'{a}}k and |
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Martin Tamajka and |
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Viktor Bachrat{\'{y}} and |
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Mari{\'{a}}n {\v{S}}imko and |
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Pavol Bal{\'{a}}{\v{z}}ik and |
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Michal Trnka and |
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Filip Uhl{\'{a}}rik}, |
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title = {SlovakBERT: Slovak Masked Language Model}, |
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journal = {CoRR}, |
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volume = {abs/2109.15254}, |
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year = {2021}, |
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url = {https://arxiv.org/abs/2109.15254}, |
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eprinttype = {arXiv}, |
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eprint = {2109.15254}, |
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} |
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``` |
