EN 
IN
Journal article
KLASIFIKASI TEKS BAHASA BALI DENGAN METODE SUPERVISED LEARNING NAIVE BAYES CLASSIFIER
Ida Bagus Gede Widnyana Putra Made Sudarma I Nyoman Satya Kumara
Volume : 15 Nomor : 2 Published : 2016, July
Jurnal Teknik Elektro
Abstrak
Increasing availability of Balinese language text documents making the process of finding or classifying information in Balinese text documents is becoming increasingly difficult. Manual classification is inefficient in view of the increase in the number of Balinese written documents. On this paper, application that can classify Balinese text into various document class is presented. The application is developed using Naive Bayes classifier (NBC) method and feature selection using Information Gain (IG) technique. Application is tested using cross validation method. The results shows that average accuracy of 10 fold cross validation is 95.22%.