Applied Computational Intelligence and Soft Computing / 2018 / Article / Tab 4

Research Article

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

Table 4

Results of the proposed model for movie review data set.

MethodClassifier
SVMMNBKNNME
PrecRecallF-ScorePrecRecallF -ScorePrecRecallF –ScorePrecRecallF-Score

Unigram86.682.484.4485.782.484.0184.180.282.1084.783.183.89
Bigram87.484.886.0882.180.781.3983.080.881.8882.480.081.18
Unigram+ 86.283.284.6786.283.484.7778.676.177.3286.682.884.65
Bigram
CompIG92.588.190.2488.987.288.0487.483.683.4584.287.185.62
CompCHI90.087.388.6286.684.785.6386.282.480.2587.684.586.02
CompGI91.289.690.3988.084.586.2187.384.979.0885.988.487.13
Average89.486.487.8686.2583.8184.6984.4381.3382.8485.2384.3184.74

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