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@ -24,7 +24,7 @@ With this model, you can classify emotions in English text data. The model was t
6) sadness 6) sadness
7) surprise 7) surprise
The model is a fine-tuned checkpoint of DistilRoBERTa-base. The emotions reflect Ekman's 6 universal emotions, plus a neutral class. The model is a fine-tuned checkpoint of DistilRoBERTa-base. The emotions reflect Ekman's 6 basic emotions, plus a neutral class.
## Application ## Application
@ -49,7 +49,7 @@ Please find an overview of the datasets used for training below. All datasets co
|Name|anger|disgust|fear|joy|neutral|sadness|surprise| |Name|anger|disgust|fear|joy|neutral|sadness|surprise|
|---|---|---|---|---|---|---|---| |---|---|---|---|---|---|---|---|
|Crowdflower (2016)|Yes|-|-|Yes|Yes|Yes|Yes| |Crowdflower (2016)|Yes|-|-|Yes|Yes|Yes|Yes|
|Emotion Dataset, Elvis et al. (2018)|Yes|Yes|Yes|Yes|-|Yes|Yes| |Emotion Dataset, Elvis et al. (2018)|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|-|Yes|-| |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|