A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content

Table 6

Comparative results of the proposed method with the baseline studies for emotion classification.

	Models	Metrics results
		Emotion classes	Avg. acc (%)	Avg. pre (%)	Avg. rec (%)	Avg. F1-score (%)
Baseline Study: Neural Network Technique	Back propagation neural Classifier (BPN) [8]	Joy (J), Sadness (S), Fear (F), Shame (S), Guilt (G)	71.27	0.67	0.66	0.67
Proposed Study: Deep Learning Technique	BISLTM	Joy (J), Sadness (S), Fear (F), Shame (S), Guilt (G)	87.66	87.66	87.66	87.66