%0 Conference Paper
%A Rachmania, A.
%A Jaafar, J.
%A Zamin, N.
%D 2013
%F scholars:3841
%I IEEE Computer Society
%K Algorithms; Electrical engineering; Information retrieval; Text processing, Human evaluation; Indonesian documents; Indonesian languages; News domain; Online environments; Text categorization; Text categorization algorithms; Textual documents, Information retrieval systems
%P 149-154
%R 10.1109/ICITEED.2013.6676229
%T Likelihood calculation classification for Indonesian language news documents
%U https://khub.utp.edu.my/scholars/3841/
%X Text categorization has been an important research area that seeks to classify textual documents into a group of predetermined categories. Unfortunately, the interest towards Indonesian news classification has been very little. In this paper, we propose a text categorization algorithm based on Bracewell method that uses the likelihood calculation between the article and the category's keywords. Through experiments, the algorithm succeeded in classifying Indonesian news corpus with accuracy as high as 93,84 in offline environment, 93,82 in online environment, and 80 benchmarking against human evaluation. © 2013 IEEE.
%Z cited By 1; Conference of 2013 5th International Conference on Information Technology and Electrical Engineering, ICITEE 2013 ; Conference Date: 7 October 2013 Through 8 October 2013; Conference Code:104628