Table 11 Additional evaluation metrics results on analyzing BOPSO performance.

From: Sentiment classification via improved feature selection using Boolean operator-based particle swarm optimization

Dataset

FPR

TNR

FNR

AUC

Camera

0.0109

0.9891

0.0104

0.9894

Camp

0.0063

0.9937

0.0063

0.9937

Doctor

0.021

0.979

0.0209

0.9791

Drug

0.039

0.961

0.039

0.961

Laptop

0.0112

0.9888

0.0115

0.9886

Lawyer

0.0096

0.9904

0.0094

0.9905

Music

0.0285

0.9715

0.027

0.9723

Radio

0.021

0.979

0.0211

0.979

TV

0.0217

0.9783

0.0217

0.9783

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