An Approach to Mizo Language News Classification Using Machine Learning

TheAndrew, B. increase in the availability ofSandeep, D. data on the Internet in the past years has created an enormous amount of data and research in the field of Artificial Intelligence and Machine Learning. With the advancement inRobert, L. technology, computational power has also increased dramatically in the past few years, and this has led to more and more advancements in ArtificialAlexander, G. Intelligence research and its applications. Mizo language, which is a low-resource language, also tends to emerge in recent years along with these advancements and with the help of news articles collected from the two biggest news outlets for the Mizo language namely Vanglaini and The Aizawl Post, an approach to news classification based of their category was done in this paper. This paper tested several machine learning methods using supervised classification techniques and got the highest accuracy among other low-resource languages in most of the models tested and among which Multinomial Naive Bayes classification gives an accuracy of 96% and is the highest when compared to the other models.