Table 2. Selected related work studies in ensemble learning for sentiment analysis.

Ref.	Features	Ensembles	Base classifiers	Dataset
Wang et al. (2014)	N-gram	Bagging, Boosting, Random Subspace	NB, ME, DT, KNN, SVM	Ten sentiment datasets
Onan, Korukoğlu & Bulut (2016)	N-gram	AdaBoost, bagging, random subspace, and majority voting	NB, LR, SVM and linear discriminant analysis	Nine sentiment analysis datasets from different domains
Tsutsumi, Shimada & Endo (2007)	N-gram	Stacking	ME, SVM	Scoring Movie review dataset
Sarvabhotla, Pingali & Varma (2011)	N-gram, lexicon	SVRCE	SVM	Two web forum datasets
Li, Wang & Chen (2012)	N-gram, lexicon	Stacking	SVM, KNN	Scoring Chinese review dataset
Su et al. (2012)	N-gram	Stacking	NB, CB, KNN, ME, SVM	Three product review datasets
Whitehead & Yaeger (2010)	N-gram	Bagging, Boosting and Random Subspace	SVM	Five product review datasets
Wilson, Wiebe & Hwa (2006)	N-gram, syntactic features	Boosting	DT	MPQA dataset