Abstract
The rise of Machine Learning (ML) techniques has given life to text classification discipline and its many applications we enjoy these days such as spam filters and opinion mining which became an essential part of our daily life. Tools and techniques have shown tremendous maturity especially in the past two decades. In this paper, we revisit this field using both commodity software and hardware to show progress of both efficiency and effectiveness of a group of ML-based methods in classifying Cricket sports news articles.