Binary Text Classification Using An Ensemble of Naïve Bayes and Support Vector Machines
dc.contributor.author | Abikoye, Oluwakemi Christiana | |
dc.contributor.author | Omokanye, Samuel Oladeji | |
dc.contributor.author | Aro, Taye Oladele | |
dc.date.accessioned | 2018-03-21T10:13:26Z | |
dc.date.available | 2018-03-21T10:13:26Z | |
dc.date.issued | 2017 | |
dc.description.abstract | Text classification is being done by classifiers over the years, combining classifiers together can result in better classification and thus Naïve Bayes algorithm is combined with Support vector machine through stacking and the results shows that the ensemble results in an increase in the classification accuracy though at the expense of the time taken by the ensemble to build its classification model | en_US |
dc.identifier.citation | Abikoye, Oluwakemi Christiana, Omokanye, Samuel Oladeji. & Aro, Taye Oladele. (2017): Binary Text Classification Using An Ensemble of Naïve Bayes and Support Vector Machines .GESJ:Computer Sciences and Telecommunications. 2(52); 37-45, Published by Internet Academy, Georgia | en_US |
dc.identifier.uri | http://gesj.internet-academy.org.ge/download.php?id=3011.pdf | |
dc.identifier.uri | http://hdl.handle.net/123456789/139 | |
dc.language.iso | en | en_US |
dc.publisher | Georgian Technical University and St. Andrew the First Called Georgian University of The Patriarchy of Georgia | en_US |
dc.subject | Naïve Bayes | en_US |
dc.subject | Support vector machine | en_US |
dc.subject | text classification | en_US |
dc.subject | ensemble | en_US |
dc.subject | Binary | en_US |
dc.title | Binary Text Classification Using An Ensemble of Naïve Bayes and Support Vector Machines | en_US |
dc.type | Article | en_US |
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