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Table 12 Result of Twitter platform

From: Sentiment analysis for cruises in Saudi Arabia on social media platforms using machine learning algorithms

Twitter

Algorithm

Metrics

Imbalance

Over-sampling

Under-sampling

70%

Fold 10

70%

Fold 10

70%

Fold 10

MLP

Accuracy

84.17%

84.19%

82.05%

87.69%

90.08%

84.33%

MAE

0.20

0.18

0.20

0.14

0.14

0.17

Precision

0.85

0.84

0.84

0.88

0.91

0.85

Recall

0.85

0.84

0.84

0.88

0.90

0.84

F-Measure

0.84

0.84

0.82

0.88

0.90

0.84

SVM

Accuracy

81.30%

84.20%

82.69%

88.27%

89.26%

85.57%

MAE

0.19

0.16

0.17

0.11

0.11

0.14

Precision

0.82

0.85

0.84

0.89

0.90

0.87

Recall

0.81

0.84

0.83

0.88

0.89

0.86

F-Measure

0.81

0.84

0.83

0.88

0.89

0.86

RF

Accuracy

74.82%

79.87%

80.77%

87.31%

78.51%

81.09%

MAE

0.82

0.83

0.86

0.89

0.85

0.85

Precision

0.82

0.83

0.86

0.89

0.85

0.85

Recall

0.75

0.80

0.81

0.87

0.79

0.81

F-Measure

0.73

0.79

0.80

0.87

0.77

0.81

NB

Accuracy

84.89%

87.45%

85.26%

88.08%

90.08%

88.31%

MAE

0.17

0.15

0.15

0.13

0.12

0.14

Precision

0.85

0.87

0.85

0.88

0.90

0.89

Recall

0.85

0.87

0.85

0.88

0.90

0.88

F-Measure

0.85

0.87

0.85

0.88

0.90

0.88

Voting

Accuracy

84.17%

84.89%

84.44%

88.65%

88.43%

86.07%

MAE

0.22

0.17

0.20

0.17

0.18

0.20

Precision

0.84

0.85

0.85

0.88

0.89

0.87

Recall

0.84

0.85

0.84

0.88

0.98

0.86

F-Measure

0.84

0.85

0.83

0.88

0.88

0.86