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

EPJ Data Science

Table 10 Best method for each dataset - 2-class experiments

Dataset	Method	F 1-Pos	F 1-Neg	Macro- F 1	Coverage
Comments_BBC	SentiStrength	70.59	96.61	83.60	32.85
Comments_Digg	SentiStrength	84.96	94.64	89.80	27.49
Comments_NYT	SentiStrength	70.11	86.52	78.32	17.63
Comments_TED	Emoticons	85.71	94.12	89.92	1.65
Comments_YTB	SentiStrength	96.94	89.62	93.28	38.24
Reviews_I	SenticNet	97.39	93.66	95.52	69.41
Reviews_II	SenticNet	94.15	93.87	94.01	94.25
Myspace	SentiStrength	98.73	88.46	93.6	31.53
Amazon	SentiStrength	93.85	79.38	86.62	19.58
Tweets_DBT	Sentiment140	72.86	83.55	78.2	18.75
Tweets_RND_I	SentiStrength	95.28	90.6	92.94	27.13
Tweets_RND_II	VADER	99.31	98.45	98.88	94.4
Tweets_RND_III	Sentiment140	97.57	95.9	96.73	50.77
Tweets_RND_IV	Emoticons	94.74	86.76	88.6	58.27
Tweets_STF	SentiStrength	95.76	94.81	95.29	41.78
Tweets_SAN	SentiStrength	90.23	88.59	89.41	29.61
Tweets_Semeval	SentiStrength	93.93	83.4	88.66	28.66
RW	SentiStrength	90.04	75.79	82.92	23.12