Text Mining and Text Analytics are complementary ways to automatically extract meaning from text. They solve the same problems but use different techniques.
In our experience and from historical comparisons, text analytics and text mining approaches have essentially equivalent performance. However, the type of work the analyst performs to achieve those results differs dramatically.
This research brief explores the strengths of these two complementary ways to automatically extract meaning from text. Learn how each approach uses different techniques to solve the problem, and combining text analytics with text mining often leads to better performance than either approach alone.