Table 7 The experimental results of various models employing glove and Word2 Vec.

From: A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm

Model

GloVe

Word2 Vec

Precision

Recall

Accuracy

F1-score

Precision

Recall

Accuracy

F1-score

Bi-GRU/EHEO

97.26

95.37

97.42

96.39

98.54

96.75

97.54

97.63

GRU

89.24

90.14

89.57

89.68

89.67

90.18

90.75

89.41

SVM

90.84

88.21

92.34

89.50

89.51

91.27

87.59

90.38

RF

90.67

91.21

91.08

90.93

91.43

89.45

93.54

90.42

K-NN

89.35

87.84

90.27

88.58

90.06

88.17

89.27

89.10

Bi-GRU/AEFA

92.31

92.76

93.13

92.53

92.76

92.34

92.93

92.55

Bi-GRU/HHO

92.15

92.34

91.98

92.24

93.61

93.45

93.97

93.53

Bi-GRU/WSO

91.84

92.08

92.73

91.96

92.37

92.76

92.97

92.56

Bi-GRU/BOA

91.73

92.06

92.19

91.89

93.41

93.19

92.97

93.30

Bi-GRU/EO

92.56

92.39

92.74

92.47

92.78

92.93

93.26

92.85

Bi-GRU/AEO

93.64

93.83

94.09

93.73

93.95

93.68

93.59

93.81

Bi-GRU

90.13

90.47

90.71

90.30

90.31

90.76

90.67

90.53

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