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:
- Accurate even with "short-string" text like that in Web chats, e-mails, notes fields, or other sources
- Customizable, allowing the extraction of common patterns such as likes and dislikes, without requiring assistance from a linguist
- Discovery-oriented, as opposed to the search-oriented applications typical of knowledge management applications
- Scalable to large volumes of textual data
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:
- Text Mining for Clementine which enables you to perform predictive modeling on concepts extracted from textual data
- LexiQuest Mine, which helps you discover concepts and the relationships among them
- LexiQuest Categorize, which helps you organize text information and automate the categorization and routing of text documents
- SPSS Text Analysis for Surveys, specifically designed to help you analyze responses to open-ended survey questions easily and efficiently
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.