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Table 3 Original data matrix

From: A web sentiment analysis method on fuzzy clustering for mobile social media users

0.5

0.55

0.69

0.58

0.57

0.45

−0.14

−0.89

0.45

0.7

0.5

0.54

0.69

0.69

0.57

0.95

1

−0.69

0.85

0.9

0.89

0.78

0.89

0.69

0.57

−0.95

−0.89

−0.69

0.75

0.9

0.1

−0.78

−0.9

−0.69

0.57

−1

−0.9

−0.69

0.23

0.3

−0.1

−0.2

−0.3

−0.59

0.86

1

0.9

−0.69

0.23

−0.3

0.1

−0.2

0.3

0.52

0.66

0.8

0.9

0.69

0.73

−0.36

−0.1

0.2

0.3

0.52

0.46

−0.8

0.1

−0.69

0.73

−0.36

0.5

0.55

0.89

0.2

−0.3

0.45

−0.14

−0.89

0.45

0.7

0.19

0.85

0.79

0.2

−0.3

−0.45

−0.14

−0.89

0.45

0.7

0.19

0.25

0.74

0.62

−0.33

−0.45

−0.14

−0.59

−0.45

0.7

0.9

0.5

0.74

0.62

0.33

0.45

0.14

0.59

0.45

0.39

0.9

0.89

0.74

0.62

0.33

0.89

0.55

0.59

0.45

0.29

0.9

0.89

0.84

0.92

−0.13

0.89

0.85

0.78

−0.85

0.3

0.19

0.89

0.44

0.82

−0.33

0.59

0.65

0.78

−0.45

0.13

1

0.89

0.39

0.99

0.85

1

1

1

0.82

1

  1. In above table, the emotional intensity values are controlled between [1, 1]; when the values are greater than zero, it is regarded as the positive feelings; if the values are less than zero, it is the negative emotions