Predefined deep categorization models

Emotion

Emotion is a model that detects the emotional tone expressed in a text. It's based in Plutchik's wheel of emotions. It consists in eight primary bipolar emotions: joy versus sadness, anger versus fear, trust versus disgust, and surprise versus anticipation.

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Code	Label	Description
`Anger`	Anger	Texts that express annoyance, displeasure, hostility.
`Anticipation`	Anticipation	Texts that express expectation, prediction.
`Disgust`	Disgust	Texts that express revulsion, disapproval.
`Fear`	Fear	Texts that express threat, danger, pain, harm.
`Joy`	Joy	Texts that express pleasure, happiness.
`Sadness`	Sadness	Texts that express sorrow, unhappiness.
`Surprise`	Surprise	Texts that express unexpectedness, astonishing.
`Trust`	Trust	Texts that express reliability, truth, ability.

Code	Label	Description
`Anger`	Ira	Texts that express annoyance, displeasure, hostility.
`Anticipation`	Anticipación	Texts that express expectation, prediction.
`Disgust`	Aversión	Texts that express revulsion, disapproval.
`Fear`	Miedo	Texts that express threat, danger, pain, harm.
`Joy`	Alegría	Texts that express pleasure, happiness.
`Sadness`	Tristeza	Texts that express sorrow, unhappiness.
`Surprise`	Sorpresa	Texts that express unexpectedness, astonishing.
`Trust`	Confianza	Texts that express reliability, truth, ability.