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--- |
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license: cc-by-4.0 |
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task_categories: |
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- text-classification |
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language: |
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- fi |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for HunEmPoli_finnish |
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This dataset is a machine translated version of the HunEmPoli dataset set available here: https://osf.io/67zsf/?view_only=a23e5b6ba5ef443892a885a3f1d1d1e7 <br> |
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Details about the dataset can be found in the original paper. <br> |
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The dataset was translated into Finnish using DeepL: https://www.deepl.com/translator |
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## Uses |
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The dataset can be used to train an emotion analysis model. |
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## Dataset Structure |
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The data fiels are: |
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- `text`: A sentence from the Hungarian parliament. |
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- `label`: Aclassification label, where 0 = `neutral`, 1 = `fear`, 2 = `sadness`, 3 = `anger`, 4 = `disgust`, 5 = `success`, 6 = `joy`, 7 = `trust`. |
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- `id`: Anique identifier for each sentence. Numbering matches the row numbers in the original dataset. |
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## Recommendations |
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The dataset is machine translated and, thus, might include mistranslations. The quality of the translation has not been verified. Make sure the data is suitable for your use case! |
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## Citation |
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Please, cite the original work when using the data. |
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@ARTICLE{10149341, |
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author={Üveges, István and Ring, Orsolya}, |
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journal={IEEE Access}, |
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title={HunEmBERT: A Fine-Tuned BERT-Model for Classifying Sentiment and Emotion in Political Communication}, |
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year={2023}, |
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volume={11}, |
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number={}, |
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pages={60267-60278}, |
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keywords={Analytical models;Task analysis;Sentiment analysis;Dictionaries;Social sciences;Bit error rate;Data models;Emotion recognition;Fine-tuned BERT-model;huBERT;emotion analysis;sentiment analysis;political communication}, |
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doi={10.1109/ACCESS.2023.3285536} |
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} |
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