Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis

Table 7

Comparison of performance of proposed approach with different literature using movie review dataset.

	Dataset	Feature Selection Method	Classifier	Performance
Pang et al.	Internet movie database (IMDb)	N-gram features	SVM; NB; ME	82.9 (Accuracy); 81.5; 81.0
Agarwal et al.	Movie (IMDb); Product (book, DVD, Electronics)	N-gram, IG,RSAR,; Hybrid (IG+RSAR)	SVM; NB	87.7 (F-measure); 80.9
Al-Moslmi et al.	Movie Reviews in the Malay Language	IG, CHI, Gini Index	SVM; NB; KNN	85.33(F-measure); 80.88; 74.68
Kalaivani et al.	Movie (IMDb)	- - - - - - - - - - - - - - - - - - - - -	SVM; NB; KNN	81.71; 72.55; 98.70
Tripathy et al.	Movie (IMDb)	N-Gram features	SVM; ME; NB; SGD	88.94; 88.48; 86.23; 85.11
Our Approach	Movie (IMDb)	N-gram, Combination of Unigram & bigram with IG, CHI, Gini Index	SVM; MNB; KNN; ME	90.39 (F-measure); 88.04; 86.03; 87.13