Klasifikasi Dokumen Bahasa Indonesia Menggunakan Metode Semantic Smoothing

Abstract

The first supervised learning method for document classification is Naive Bayes classifier. A common problem that often occurs on simple methods like Naive Bayes is data sparsity. This problem especially occurs when the size of training and testing data is too small. Smoothing technique is a method for handling the sparsity problem, one method from smoothing technique is Semantic Smoothing. Document Agricultural Research Journal of holticulture domain is used for this research, this document contains of three classes. The average for accuracy of document classification on Semantic Smoothing is 92.88%. Results of the classification with Semantic Smoothing has been able to classify document of Agriculture Research Journal at holticulture domain.