Table 7 Comparison of BOPSO’s accuracy with current methods using the Naïve Bayes classifier.

From: Sentiment classification via improved feature selection using Boolean operator-based particle swarm optimization

Dataset

BOPSO

HEP

MODE-WV

FU

POS-RS

Camera

97.11

95.88

92.83

79.76

76.45

Camp

97.99

96.58

93.74

86.00

85.26

Doctor

95.64

95.65

91.05

86.10

85.03

Drug

92.40

94.28

89.63

69.51

68.83

Laptop

99.92

98.95

98.89

78.89

79.82

Lawyer

99.59

97.90

97.87

80.91

83.86

Music

95.01

94.20

89.86

70.73

69.63

Radio

93.07

93.39

88.62

75.32

70.68

TV

97.41

96.76

95.77

79.82

76.09

Avg.

96.46

95.95

93.14

78.56

77.29

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