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 …

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 …

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 …

One of the several benefits of text classification is to automatically assign document in
predefined category is one of the primary steps toward knowledge extraction from the raw …

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

At present, we have seen everything is getting digitized where technology almost takes full
control over our life. As a result, a massive number of textual documents are generated on …

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

News categorization has the aim of categorizing news into certain categories. In this paper,
we build a machine learning model to categorize Indonesian news. One of the best methods …

English is a language commonly used in the international world. Meanwhile, English that is
often used in society is British English and American English. Beyond of the similarities, they …

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 …