The problem with machine readable text is that its most valuable content isn’t originally written by machines, which makes it hard for machines to understand context such as where text is placed on the page or bolded fonts.
This paper looks at how to blend machine learning and the insights of seasoned data scientists to provide a powerful, flexible approach to document analysis that consistently delivers relevant, actionable insights from any unstructured data source.