Sentiment Classification of Drug Reviews Using Fuzzy-rough Feature Selection

Tianhua Chen, Pan Su, Changjing Shang, Richard Hill, Hengshan Zhang, Qiang Shen

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

23 Dyfyniadau (Scopus)
78 Wedi eu Llwytho i Lawr (Pure)


Sentiment analysis mines people's opinions and attitudes regarding a certain issue from source materials. Recently, it has drawn significant attention in a number of application areas. The sentiment analysis of healthcare in general and that of users' drug experience in particular could shed significant light on how to improve public health and make the right decisions. However, one of the major challenges in sentiment classification lies in the very large number of extracted features. Fuzzy-rough feature selection provides a means by which discrete or real-valued noisy data can be effectively reduced without human intervention. This paper proposes an implementation for automatic sentiment classification of drug reviews employing fuzzy rough feature selection. Experimental results demonstrate that the employment of fuzzy-rough feature selection can indeed significantly reduce the complexity of feature space and the classification run-time overheads while maintaining classification accuracy.
Iaith wreiddiolSaesneg
Teitl2019 IEEE International Conference on Fuzzy Systems
CyhoeddwrIEEE Press
Nifer y tudalennau6
ISBN (Electronig)9781538617281
ISBN (Argraffiad)9781538617298
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 11 Hyd 2019
DigwyddiadFuzzy Systems - J W Marriott, New Orleans, Unol Daleithiau America
Hyd: 23 Meh 201926 Meh 2019
Rhif y gynhadledd: 28

Cyfres gyhoeddiadau

EnwIEEE International Conference on Fuzzy Systems
ISSN (Argraffiad)1098-7584
ISSN (Electronig)1558-4739


CynhadleddFuzzy Systems
Teitl crynoFUZZ-IEEE-2019
Gwlad/TiriogaethUnol Daleithiau America
DinasNew Orleans
Cyfnod23 Meh 201926 Meh 2019

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