BINARY TEXT CLASSIFICATION USING AN ENSEMBLE OF NAÏVE BAYES AND SUPPORT VECTOR MACHINES


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.