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Three rules of text analytics
Rule 1: Text data is messy Text data, by its inherent free-form nature and an individual’s writing style, is plagued by misspellings, acronyms, clipped text (e.g. ttfn), emoticons, etc. Data...
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Validating your information with text analytics: a new way to substantiate...
Just about everywhere you turn there is unstructured data. Emails, Web and social content, survey responses and customer call center recordings – the list goes on. Organizations make sense of this data...
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What are the hottest trends in analytics?
Eric Siegel, PhD, Conference Chair for Predictive Analytics World and Text Analytics World, expands on the innovative approaches of using social data, text analytics and net-lift modeling in this...
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Trusting machines to understand humans
“I think that’s what she meant by that…” is a common question of sentiment. Such misinterpretation invades everyday lives. And innovative organizations are supposed to trust a machine to solve these...
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Don’t fear big data, says author Thornton May. Embrace it.
“It’s not a bug. It’s a feature,’’ says May, who thinks the 61 percent of companies that say they don’t really know what to do with all their data are in trouble if they don’t figure it out quickly....
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Information is aid
Robert Kirkpatrick, Director, UN Global Pulse In any crisis, communities need food, water and medicine to survive. At the United Nations Global Pulse (UNGP), in addition to the aforementioned...
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Next up for private sector: Data philanthropy and innovation
Robert Kirkpatrick, Director, UN Global Pulse In my last blog post, I gave you an idea of the types of altered (read: improved) decisions on programs and policies that the public sector could make by...
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Got text data? Now what?
Fiona McNeil, SAS With more organizations looking at ways to make the most out of unstructured text, there’s an abundance of tools and solutions to address this not-so-neatly packaged data. Are there...
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