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A basic definition: Text analytics transforms text-sourced information into data to help you generate insights that fuel better-informed business decision-making. Methods are applied to online and social information, as well as enterprise feedback, to complement and extend traditional and emerging research methods. Text analytics is the leading opinion mining technique, evolving to link emotion and intent signals to behaviors, profiles, and transactions. If text analytics isn’t part of your data toolkit, it should be; if you’re already exploiting text analytics, you’ll want to stay on top of developments. Seth Grimes, in this What’s Next talk, will tell you how.