Using Deep Learning to Find Insights in Mounds of Messy Data

Imagine you are stock analyst who wants to analyze the news associated with a particular company to better understand important trends and future performance.  Where do you turn to? Well entrenched tools such as a Google or Bloomberg immediately come to mind and these do a pretty good job of delivering relevant results.

That said, there is still a lot of effort involved in going from that initial information set to a synthesized view of it that can enable us to more easily find meaningful patterns and surface interesting signals. We still, and appropriately so, marvel at the ability of Google to quickly and efficiently help us find items that we are searching for.

Author: Vishal Daga


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