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 …

Due to the expanded use of the internet and the revolution of the information technology
field, people are beginning to read news online more and more. For that reason, online …

Online News Classification Using Naive Bayes Classifier with Mutual Information for
Feature Selection Page 1 Online News Classification Using Naive Bayes Classifier with …

In recent years, since the Artificial Intelligence (AI) grows up, the machine has better
judgment then the human. In this paper, we used Artificial Intelligence to train computer such …

News article are the source of historic information that can be accessed whenever required.
Today in modern world, Internet is also doing the same task and full of online news on …

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

As more and more sources publish a large amount of news on the Internet every day, it is
necessary to categorize news articles so that users can effectively obtain information. The …

With the expansion of the Internet, more and more people enjoys reading and sharing online
news articles. The number of shares under a news article indicates how popular the news is …

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 …

Much news is available online, and not all is categorized. A few researchers have carried
out work on news classification in the past, and most of the work focused on fake news …