readme: ---
  language: 
  - sk
  tags:
  - twitter
  - sentiment-analysis
  license: cc
  metrics:
  - f1
  widget:
  - text: "Najkrajšia vianočná reklama: Toto milé video vám vykúzli čarovnú atmosféru: Vianoce sa nezadržateľne blížia."
  - text: "A opäť sa objavili nebezpečné výrobky. Pozrite sa, či ich nemáte doma"
  ---
  
  
  # Sentiment Analysis model based on SlovakBERT
  
  This is a sentiment analysis classifier based on [SlovakBERT](https://huggingface.co/gerulata/slovakbert). The model can distinguish three level of sentiment:
  
  - `-1` - Negative sentiment
  - `0` - Neutral sentiment
  - `1` - Positive setiment
  
  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.
  
  ## Results
  
  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.
  
  ## Cite
  
  ```
  @article{DBLP:journals/corr/abs-2109-15254,
    author    = {Mat{\'{u}}{\v{s}} Pikuliak and
                 {\v{S}}tefan Grivalsk{\'{y}} and
                 Martin Kon{\^{o}}pka and
                 Miroslav Bl{\v{s}}t{\'{a}}k and
                 Martin Tamajka and
                 Viktor Bachrat{\'{y}} and
                 Mari{\'{a}}n {\v{S}}imko and
                 Pavol Bal{\'{a}}{\v{z}}ik and
                 Michal Trnka and
                 Filip Uhl{\'{a}}rik},
    title     = {SlovakBERT: Slovak Masked Language Model},
    journal   = {CoRR},
    volume    = {abs/2109.15254},
    year      = {2021},
    url       = {https://arxiv.org/abs/2109.15254},
    eprinttype = {arXiv},
    eprint    = {2109.15254},
  }
  ```