Binary Text Classification Using An Ensemble of Naïve Bayes and Support Vector Machines
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Georgian Technical University and St. Andrew the First Called Georgian University of The Patriarchy of Georgia
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
Description
Keywords
Naïve Bayes, Support vector machine, text classification, ensemble, Binary
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