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

Table 9

Evaluation results of machine learning and the proposed technique.

Classifier/model	Accuracy (%)		Precision (%)		Recall (%)		F1-score (%)
	J-S; F-S	F-G	J-S; F-S	F-G	J-S; F-S	F-G	J-S; F-S	F-G
SVM [8]	79; 67.73	81.74	79; 75	82	79; 68	82	79; 82	67
KNN	80.82; 79.55	79	81; 79	79	81; 79	79	81; 79	79
LR	78.08; 81.36	82.19	78; 81	82	78; 82	82	78; 81	82
RF	73.52; 72.27	67.12	73; 72	67	73; 72	67	73; 72	67
MNB [27]	74.89; 84.09	85.84	77; 84	86	76; 84	86	75; 84	86
DT [27]	76.71; 76.82	73.52	77; 76	74	77; 76	73	77; 76	73
XGBoost	71.23; 73.18	72.15	80; 73	72	71; 73	72	67; 73	72
Proposed (BILSTM)	88; 86	89	88; 86	89	88; 86	89	88; 86	89