Every language has unique characteristics, structures, and grammar. Thus, different styles
will have different processes and result in processed in Natural Language Processing (NLP) …

Text classification is now a well-studied field, particularly in Natural Language Processing
(NLP). The text classification can be carried out using various methods, one of which is deep …

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 …

There were several news categories that present editors with challenges. Some news
categories, such megapolitan, national, celebrity, news, lifestyle, and economics, used …

This research intends to find the appropriate algorithm to automatically classify a news
article in Indonesian Language. We obtain our dataset which is taken by using a web …

Digital news with a variety topics is abundant on the internet. The problem is to classify news
based on its appropriate category to facilitate user to find relevant news rapidly. Classifier …

The exchange of information through digital media occurs rapidly and in large quantities.
One of the impacts is the ease of accessing news articles via the internet, such as through …

Abstract-A news classification task begins with a data set in which the class assignments are
known. Classification are discrete and do not imply order. The goal of classification is to …

Curently, internet content growth rapidly. Automatic news classification is the classification of
news into a category. In this research, the classification method used is Naive Bayes wich is …

Nowadays, the volume of data offered on the Internet is growing every moment, and the
necessity to analyze these data and convert to useful information increased. There are …