Extracting Sentiment from Business News Announcements for More Efficient Decision Making

Sentiment analysis is a subfield of natural language processing intending to identify if the content of a text is positive, negative, or neutral. Over the last years we have witnessed an unprecedented explosion of different sources of digital content that is coming from news sites, social media and blog posts. In this study we are focusing our attention to the digital content that it is coming from the regulatory news announcements. Market transparency legislation in the UK and other countries alike, imposes to all publicly listed companies to publish, on a regular basis, critical business information. The investment community can benefit from a system that is able to extract sentiment from regulatory news announcements. In this article, we cover this gap by proposing a system that extracts sentiment from regulatory news announcements for more efficient decision making.