Using Natural Language Processing to Interpret Risk-Relevant Content
Every day, hundreds of thousands of news stories are published online. At the same time, governments and agencies constantly update and refine their watchlists and databases. It’s an unimaginably huge volume of data. And, it’s also unstructured – meaning that traditional database technology can’t easily query it. Yet, hidden within this vast resource are the vital insights that can protect businesses from counterparty risk. For example, an adverse media mention or a new listing on a sanctions database. In this paper, we explore natural language processing (NLP), a fast-evolving technology that’s ideally suited to making sense of unstructured data at a time when corporations depend more than ever on the insights it can provide.