News Classification by N-Gram and Machine Learning Algorithms.

News is information obtained from different sources such as television, internet, newspapers and magazines. Online news is published in very large numbers, and because there are so many news, it will be challenging for users to find the pertinent information that matches their preferences. In this paper, the news is categorized so that a specific category can be obtained quickly and easily. The BBC's newsgroup was used in its five categories: sports, politics, business, technology and entertainment. The classification algorithms Multinomial Naive Bayes (MNB) and decision tree (DT) were applied to the news data set after extracting the features from it using n-gram method . Multinomial naïve Bayes algorithm has proven superiority over decision tree with an accuracy 98.2%. [ABSTRACT FROM AUTHOR]