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Text Mining

Text Mining

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Unlock the Value in Text

Text mining is the process of analyzing collections of textual information in order to capture key concepts and uncover hidden themes, relationships, and trends.

There are several possible ways to conduct text mining. But the most effective methods are based on natural language processing (NLP) technologies. Products using NLP technologies analyze text not as a collection of words or letters but as sets of phrases and sentences whose grammatical structure provides a context for the meaning of the document.

Text mining solutions from SPSS Inc. are based on 25 years of research in the application of NLP technologies. As a result, our products can analyze large amounts of text quickly and with a high degree of accuracy. In addition, they are:

Text mining provides the foundation for SPSS Inc.'s Predictive Text Analytics solution. Predictive Text Analytics provides a way to incorporate concepts uncovered in text in predictive models developed through data mining, to draw more reliable conclusions about future events or actions.

Products incorporating SPSS text mining technologies include:

LexiQuest technologies are the linguistic foundation for SPSS Inc.'s Predictive Text Analytics solution. Predictive Text Analytics provides a way to incorporate concepts uncovered in text in predictive models developed through data mining, to draw more reliable conclusions about future events or actions.

If you are an original equipment manufacturer (OEM), and would like to add the text mining capabilities of the SPSS solution to your application, you can find additional information here.

For more information about SPSS' text mining products, contact one of our sales representatives.

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