1 Introduction
With increasing digitalization of knowledge sources, the role of a corporate library has evolved significantly. A modern corporate library is tasked with additional roles such as aggregating multiple sources of daily news streams, segregating business relevant information from other non-business data as well as categorizing the business relevant information for easy comprehension by its users. Given the humongous amount of data available per day from news-streams from multiple vendors, a library team needs support of automation to scale with limited manpower available to it. In this work, we propose a system that aims to automate a time-consuming task of categorizing business news articles based on the type of main or primary event discussed, which we refer to as “News'Type”,