With IBM SPSS Modeler Premium's predictive and text analytics tools, you can explore your data in an unprecedented way to make decisions reliable, which will help you get a return on your investment. It allows you to extract information from a wide variety of data sources, so you can complement structured data processing with information from unstructured data such as web activity, customer reviews, emails or articles extracted from blog content and customer feedback.

SPSS Text Analytics allows you to identify important correlations, opinions and relationships and transform into a structured format that can form the basis for predictive modelling. It has a graphical interface that is easy to use for analysts and business users, without the help of a linguist. Textual data is directly accessible and can be used by decision-makers and other applications.

SPSS Text Analytics uses advanced linguistic and NLP (Natural Language Processing) technology to quickly process different text files and extract relationships from them. It allows a wide range of unstructured data to be accessed and processed. After extracting the relationships, data mining techniques can be applied. The extracted information can be combined with structured data and used in predictive models. This can significantly improve the accuracy and output of predictive data models.