A Study of Text Classification for Indonesian News Article
Grelly Lucia Yovellia Londo, Dwiky Hutomo Kartawijaya, Hesti Tri Ivariyani, Yohanes Sigit Purnomo W.P., Aryasuta P. Muhammad Rafi, Dipo Ariyandi · 2019
This paper aims to do a study of text classification for Indonesian News Article. This research will explore the use of some machine learning algorithms like support vector machine, multinomial naive Bayes, and decision tree to classify news article in the Indonesian Language. From the experiment, it showed that support vector machine algorithm achieves high performance with 93% in f1 score.