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Table 3 Comparative analysis of various sentiment classifier models in multiple domains

From: Analysis of customer reviews with an improved VADER lexicon classifier

Methods/Domain

Electronics

DVD

Kitchen

Books

Average

SentiDraw [33]

     

 A (%)

80.9

78

78.1

78.4

78.85

 P (%)

60

63

65

58

61.5

 R (%)

62

65

70

72

67.25

 F (%)

66

68

58

55

61.75

SL-MLP [34]

     

 A (%)

77.6

72.4

76.3

73

74.825

 P (%)

55

58

66

81

65

 R (%)

42

44

46

48

45

 F (%)

45

48

53

58

51

CAN [40]

     

 A (%)

87.13

87.23

88.8

89.8

88.24

 P (%)

75

65

72

70

70.5

 R (%)

78

75

76

68

74.25

 F (%)

73

75

77

80

76.25

UDA-SP[41]

     

 A (%)

85.7

84.2

88.6

85.3

85.7

 P (%)

85

88

82

86

85

 R (%)

81

83

84

86

81

 F (%)

80

83

85

86

80

CDSARFE [42]

     

 A (%)

86.7

76.29

78.01

74.9

86.7

 P (%)

83

86

87

81

83

 R (%)

80

87

85

81

80

 F (%)

81

82

84

86

81

IVADER (proposed)

     

 A (%)

95.7

98.64

96.55

97.41

98.64

 P (%)

97

93

96

91

97

 R (%)

91

94

92

93

94

 F (%)

93

92

90

91

92