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