Text Mining for Clementine is a text mining workbench that enables you to extract key concepts, sentiments, and relationships from textual or "unstructured" data and convert them to a structured format that can be used to create predictive models. You can access Text Mining for Clementine directly from the interface of SPSS Inc.'s industry-leading data mining workbench, Clementine. The powerful combination of these two products transforms Clementine into a fully integrated data and text mining workbench.
Text Mining for Clementine uses a proven natural language processing (NLP) linguistic extraction process. With Text Mining for Clementine, you can access and process a wide variety of unstructured data, including text contained in:
After concepts are extracted from text, data mining techniques are applied to them. This has been shown to improve the "lift" or accuracy of predictive data models and significantly improve results.
For example, Swiss cable television company Cablecom has used Text Mining for Clementine to improve customer retention. "Our organization has been able to better understand and quantify reasons for customer churn through the use of SPSS predictive text mining software. We've uncovered concepts and relationships in text that would be too costly—or even impossible—to detect by any other methods," said Federico Cesconi, head of customer insight and retention.
Easy access and customization
Text Mining for Clementine has an intuitive, graphical interface that enables analysts and business users to perform text mining without help from a linguist. You can access text data directly and deploy streams and models to decision makers or for use in other applications.
You can customize concept dictionaries for specific domain areas by using the included Resource Editor. This easy-to-use resource for managing extracted text helps you discover relevant concepts and associations more quickly. Additionally, you can use the Resource Editor to edit the dictionaries included with Text Mining for Clementine.
Deploy text mining results throughout your organization
Text Mining for Clementine's open system works with many types of operational databases and applications, including SPSS Inc.'s PredictiveMarketing, PredictiveCallCenter, and PredictiveClaims.
If your organization employs an enterprise feedback management (EFM) solution, Text Mining for Clementine can help you understand the opinions, attitudes, and preferences of your customers, employees, citizens, business partners, and others.
Additionally, use SPSS Predictive Enterprise Services to help manage your analytical assets and analytical processes.
Extract text from multiple languages
Text Mining for Clementine 12.0 is available for processing Dutch, English, French, German, Italian, Portuguese, or Spanish text. By using the Language Weaver option, it can also process text translated into English from 14 languages, including Arabic, Chinese, Persian, and Russian. Text Mining for Clementine 2.2 is available for processing Japanese text.
Since Text Mining for Clementine is integrated with SPSS Inc.'s data mining workbench, you may want to read more about the capabilities of Clementine, and about data mining in general.
For more information about Text Mining for Clementine, contact a sales representativeKey Products and Services
Resources
Buy
Demos and Downloads
