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 …

In this era, a rapid thriving Internet occasionally complicates users to retrieve news category
furthermore if there are plentiful of news to be categorized. News categorization is a …

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

Since the rise of WWW, information available online is growing rapidly. One of the example
is Indonesian online news. Therefore, automatic text classification became very important …

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 …

The main objective is to propose a text classification based on the features selection and
preprocessing thereby reducing the dimensionality of the Feature vector and increase the …

This paper reports a comparative study of two machine learning methods on Arabic text
categorization. Based on a collection of news articles as a training set, and another set of …

In the current generation, a huge amount of textual documents are generated and there is an
urgent need to organize them in a proper structure so that classification can be performed …