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Insights from a webcast sponsored by SAS and Casino Journal

Even for a brand that is marginally recognized, the volume of comments coming from social media and other online sources can reach up to a terabyte a day. Add to that tens of thousands of call center records, guest surveys, emails and other internal data, and you have a rich view into customer opinion. How can hotels and casinos manage, analyze and use this fast-moving flood of unstructured text to make better business decisions?

That was the subject of a webcast co-sponsored by SAS and Casino Journal. This paper summarizes the discussion about how natural language processing and text analytics work to help you classify and understand what is in those text records and what is being said about you and your competitors on the Internet.

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