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Table 13 Mean rank table for datasets of social networks

From: SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods

3-classes

2-classes

Pos

Method

Mean Rank

Pos

Method

Mean Rank

Coverage (%)

1

Umigon

2.57

1

SentiStrength

2.22 (2.57)

31.54 (32.18)

2

LIWC15

3.29

2

Sentiment140

3.00

46.98

3

VADER

4.57 (4.57)

3

Emoticons

5.11

18.04

4

AFINN

5.00

4

LIWC15

5.67

71.73

5

Opinion Lexicon

5.57

5

Semantria

5.89

61.98

6

Semantria

6.00

6

PANAS-t

6.33

5.87

7

Sentiment140

7.00

7

Opinion Lexicon

7.56

66.56

8

Pattern.en

7.57

8

Umigon

8.00

71.67

9

SO-CAL

9.00

9

AFINN

8.67

73.37

10

Emolex

12.29

10

SO-CAL

8.78

67.81

11

SentiStrength

12.43 (11.60)

11

VADER

8.78 (9.75)

83.29 (81.90)

12

Opinion Finder

13.00

12

Pattern.en

11.22

69.47

13

SentiWordNet

13.57

13

Sentiment140_L

14.00

94.61

14

SenticNet

14.14

14

Opinion Finder

14.33

39.58

15

SASA

14.86

15

Emolex

14.56

62.63

16

LIWC

15.43

16

USent

15.22

38.60

17

Sentiment140_L

15.43

17

SenticNet

17.22

75.46

18

USent

16.00

18

SentiWordNet

18.44

61.41

19

ANEW_SUB

19.14

19

NRC Hashtag

19.11

94.20

20

Emoticons

19.14

20

SASA

19.44

58.57

21

Stanford DM

19.43

21

LIWC

19.56

61.24

22

NRC Hashtag

20.00

22

ANEW_SUB

20.56

93.51

23

PANAS-t

20.86

23

Stanford DM

22.56

89.06

24

Emoticons DS

23.71

24

Emoticons DS

23.78

99.28