🪐 spaCy Project: Categorization of emotions in Reddit posts (Text Classification) This project uses spaCy to train a text classifier on the GoEmotions dataset

Feature Description
Name en_textcat_goemotions
Version 0.0.1
spaCy >=3.1.1,<3.2.0
Default Pipeline transformer, textcat_multilabel
Components transformer, textcat_multilabel
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources GoEmotions dataset
License MIT
Author Explosion

Label Scheme

View label scheme (28 labels for 1 components)
Component Labels
textcat_multilabel admiration, amusement, anger, annoyance, approval, caring, confusion, curiosity, desire, disappointment, disapproval, disgust, embarrassment, excitement, fear, gratitude, grief, joy, love, nervousness, optimism, pride, realization, relief, remorse, sadness, surprise, neutral

Accuracy

Type Score
CATS_SCORE 90.22
CATS_MICRO_P 66.67
CATS_MICRO_R 47.81
CATS_MICRO_F 55.68
CATS_MACRO_P 55.00
CATS_MACRO_R 41.93
CATS_MACRO_F 46.29
CATS_MACRO_AUC 90.22
CATS_MACRO_AUC_PER_TYPE 0.00
TRANSFORMER_LOSS 83.51
TEXTCAT_MULTILABEL_LOSS 4549.84
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Text Classification
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