Table 2. Summary of related works on SA...

Table 2.

Summary of related works on SA

Study	Language^a	Data^b	L	S	P	Algorithm^c	Nr classes	Data size
Pang et al.	ENG	IMDb	–	–	X	N-gram+NB, N-gram+SVM, N-gram+ME	3	16K rev
Blitzer et al.	ENG	Am	–	–	–	SCL	2	8K rev
Bolleaga et al.	ENG	Am	X	–	X	FE+L1LR	2	76K
Ortigiosa et al.	SP	FB	–	–	X	L, NB, J48, SVM	2	3K
Dos Santos and Gatti	ENG	IMDb, TW	–	–	–	WE+CNN, CE+CNN	2	12K, 80 K
Kumar et al.	–	Am	–	–	–	NB,LR,SW	2	–
Tripathy et al.	ENG	IMDb	–	–	–	N-gram+NB, N-gram+SVM, N-gram+ME, N-gram SGD	2	50K
Conneau et al.	ENG, CH	various^*	–	–	–	Ce+VDCNN	2–14	11M
Zola et al.	ENG, IT	Am, FB, TR, TW	–	X	X	We+NB, We+SVM, We+MLP, We+CNN	2, 3	1.3M

Study	Language^a	Data^b	L	S	P	Algorithm^c	Nr classes	Data size
Pang et al.	ENG	IMDb	–	–	X	N-gram+NB, N-gram+SVM, N-gram+ME	3	16K rev
Blitzer et al.	ENG	Am	–	–	–	SCL	2	8K rev
Bolleaga et al.	ENG	Am	X	–	X	FE+L1LR	2	76K
Ortigiosa et al.	SP	FB	–	–	X	L, NB, J48, SVM	2	3K
Dos Santos and Gatti	ENG	IMDb, TW	–	–	–	WE+CNN, CE+CNN	2	12K, 80 K
Kumar et al.	–	Am	–	–	–	NB,LR,SW	2	–
Tripathy et al.	ENG	IMDb	–	–	–	N-gram+NB, N-gram+SVM, N-gram+ME, N-gram SGD	2	50K
Conneau et al.	ENG, CH	various^*	–	–	–	Ce+VDCNN	2–14	11M
Zola et al.	ENG, IT	Am, FB, TR, TW	–	X	X	We+NB, We+SVM, We+MLP, We+CNN	2, 3	1.3M

Notes:

^aLanguage – ENG: English; CH: Chinese; IT: Italian; and SP: Spanish

Data source type – Am: Amazon reviews; FB: Facebook; IMDb: movies reviews; TR: Tripadvisor reviews; and TW: Twitter

SA method – Ce: character embedding; CNN: convolutional neural network; FE: feature extraction; J48: decision tree; L: lexicon information; L1LR: L1 regularized logistic regression; LR: logistic regression; ME: maximum-entropy; MI: mutual information; NB: naive Bayes; SGD: stochastic gradient descent; SVM: support vector machine; SCL: structural correspondence learning; SW: SentiWordNet (Baccianella et al., 2010); VDCNN: very deep convolutional neural network; W2V: word to vec; and We: word embedding

The authors used different sources: news data, DBPedia, Yelp reviews, Yahoo Answer and Amazon reviews

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