Table 2.

Performance metrics of the algorithm in terms of emotion classification.

Emotion	Precision	Recall	F1-score
Good	0.71	0.91	0.79
Joy	0.58	0.97	0.73
Surprise	0.92	0.67	0.77
Anticipate	0.67	0.11	0.19
Neutral	0.86	0.66	0.74
Disgust	0.94	0.68	0.79
Fear	0.94	0.85	0.89
Anger	0.73	0.45	0.56
Sadness	0.92	0.67	0.78
Macro average	0.81	0.66	0.69