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## Description ## Description
With this model, you can classify emotions in English text data. The model was trained on diverse datasets and predicts 7 emotions: With this model, you can classify emotions in English text data. The model was trained on 6 diverse datasets and predicts 7 emotions:
1) anger 1) anger
2) disgust 2) disgust
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## Appendix ## Appendix
Please find an overview of the datasets used for training below: Please find an overview of the datasets used for training below. The table summarizes which emotions are available in each of the datasets.
|Name|anger|disgust|fear|joy|neutral|sadness|surprise| |Name|anger|disgust|fear|joy|neutral|sadness|surprise|
|---|---|---|---|---|---|---|---| |---|---|---|---|---|---|---|---|
|Crowdflower (2016)|Yes|No|No|Yes|Yes|Yes|Yes| |Crowdflower (2016)|Yes|-|-|Yes|Yes|Yes|Yes|
|Emotion Dataset, Elvis et al. (2018)|Yes|Yes|Yes|Yes|No|Yes|Yes| |Emotion Dataset, Elvis et al. (2018)|Yes|Yes|Yes|Yes|-|Yes|Yes|
|GoEmotions, Demszky et al. (2020)|Yes|Yes|Yes|Yes|Yes|Yes|Yes| |GoEmotions, Demszky et al. (2020)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
|ISEAR, Vikash (2018)|Yes|Yes|Yes|Yes|No|Yes|No| |ISEAR, Vikash (2018)|Yes|Yes|Yes|Yes|-|Yes|-|
|MELD, Poria et al. (2019)|Yes|Yes|Yes|Yes|Yes|Yes|Yes| |MELD, Poria et al. (2019)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
|SemEval-18|Yes|No|Yes|Yes|No|Yes|No| |SemEval-18|Yes|-|Yes|Yes|-|Yes|-|