SPSS launches latest versions of its data mining, text analytics software

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Chicago—Predictive analytics company SPSS has introduced new versions of its data mining workbench and text analytics software, both with new names.

The company’s PASW (for Predictive Analytics Software) Modeler 13, which formerly was called Clementine, features simplified data mining, automatically detecting and correcting quality errors, inputting missing values, and providing reports on which data to use. A comments feature allows users to post quick notes into the model stream to aid collaboration.

SPSS’ PASW Text Analytics 13 (previously called Text Mining for Clementine) leverages insights and sentiments in unstructured data, including call center notes, open-ended survey responses, blogs and wikis. The new version includes prebuilt categories for satisfaction surveys, advanced natural language processing techniques and more comprehensive language support, according to the company.

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