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IWD Based Feature Selection Algorithm for Sentiment Analysis

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dc.contributor.author Parlar, Tuba
dc.contributor.author Sarac, Esra
dc.date.accessioned 2019-11-27T12:58:31Z
dc.date.available 2019-11-27T12:58:31Z
dc.date.issued 2019
dc.identifier.citation Parlar, T., & Sarac, E. (2019). IWD Based Feature Selection Algorithm for Sentiment Analysis. Elektronika Ir Elektrotechnika, 25(1), 54-58. https://doi.org/10.5755/j01.eie.25.1.22736 tr_TR
dc.identifier.issn 1392-1215
dc.identifier.uri http://openaccess.adanabtu.edu.tr:8080/xmlui/handle/123456789/616
dc.identifier.uri https://doi.org/10.5755/j01.eie.25.1.22736
dc.description WOS indeksli yayınlar koleksiyonu. / WOS indexed publications collection.
dc.description.abstract Feature selection methods aim to improve the classification performance by eliminating non-valuable features. In this paper, our aim is to apply a recent optimization technique namely the Intelligent Water Drops (IWD) algorithm to select best features for sentiment analysis. We investigate the classification performances of our proposed IWD based feature selection method by comparing one of the well-known feature selection method using Maximum Entropy classifier. Experimental results show that Intelligent Water Drops based feature selection method outperforms than ReliefF method for sentiment analysis. tr_TR
dc.language.iso en tr_TR
dc.relation.ispartofseries 2019;Volume: 25 Issue: 1
dc.subject Feature selection tr_TR
dc.subject Machine learning
dc.subject Natural language processing
dc.subject Text mining
dc.subject Sentiment analysis
dc.subject Engineering
dc.subject Electrical & Electronic
dc.title IWD Based Feature Selection Algorithm for Sentiment Analysis tr_TR
dc.type Article tr_TR

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