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Text Mining for Clementine helps you to combine unstructured and structured data to increase
your understanding of your customers and other groups. Download this spec sheet for benefit
highlights, feature lists, and full system requirements.
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Download this executive overview brochure to discover how to combine text mining and predictive analytics for measurable results throughout your organization. The brochure includes case studies, application examples, descriptions of the underlying technologies, and much more.
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Predictive analytics helps your organization uncover and understand information contained in all types of data, including structured databases, text, and Web logs. This eight-page brochure describes the benefits to be gained from predictive analytics, and includes stories from a number of SPSS customers, both in business and in the public sector, that have used predictive analytics to understand current conditions and anticipate future attitudes and behavior.
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This brochure describes how the LexiQuest solution helps researchers, scientists, librarians, and others in life sciences organizations uncover patterns in textual data to reduce the amount of time spent on research, lower the cost of R&D efforts, and protect intellectual property and market share.
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This product brochure describes how the components of the LexiQuest solution—LexiQuest Mine, LexiQuest Categorize, and Text Mining for Clementine—help organizations of all types improve performance by enabling them to discover and organize concepts hidden in text and use them to predict attitudes, behaviors, and events.
Predictive Text Analytics
Read Nucleus Research's "Guidebook: SPSS
Text Mining"
Key Products and Services
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