It has also become urgent for enterprises to understand the massive amount of information that has not been analyzed and that will not fit into a structured format.  This represents unstructured content; that is text information in the form of documents, notes, email, chat, websites, voicemail, news stories, regulatory filings, repair records, field representative notes, invoices, etc. Although traditional behavioral analytics can find what is going on – the why and wherefores remains buried in text – and the story behind the data, to get text mining information and software go to kdnuggets.com.

Why is text mining important to enterprises – because manufacturers need to know the reason a product is failing so that they can fix the cause, not just respond to the impact of a recall.  And because a deep analysis of competitive patents takes too long to be done manually or because it is impossible to constantly read and thoroughly analyze large quantities of Web content, email, blogs, call site and other operational reports.  

Text mining tools enable enterprises to create an infrastructure to improve early warning systems that include text-based information to better assess and trigger organizational responses.  Text mining analyzes can identify trends, patterns, and complex inter-document relationships within large numbers of documents and email.  Some text mining tools can create links with structured databases for a global view and behavioral analytics model.  For more information on text mining technology go to textanalysis.info.