NLP for Analytics: It's Not Just About Text - InformationWeek

Organizations have been using natural language processing (NLP) for text analytics to identify patterns in data such as social media sentiment and contract review, but NLP usage has been expanding. "The big change that's happened in the last five years is the amount of context and understanding that can be extracted or used when understanding documents," said Nigel Duffy, global artificial intelligence leader at EY. "Our ability to understand information from documents is much, much greater than it was a few years ago." BI and analytics vendors are adding NLP capabilities to their products such as natural language generation for data visualization narration and natural language understanding for natural language searches. In doing all of this, they're making data visualizations easier to understand and their products easier to use. For example, Tableau, Sisense, and Qlik have all partnered with Narrative Science to narrate data visualizations with text.