The following 10 text mining examples demonstrate how practical application of unstructured data management techniques can impact not only your organizational processes, but also your ability to be competitive. Text mining can be used to make the large quantities of unstructured data accessible and useful, thereby generating not only value, but delivering ROI from unstructured data management as we've seen with applications of text mining for Risk Management Software and Cybercrime applications. Through techniques such as categorization, entity extraction, sentiment analysis and others, text mining extracts the useful information and knowledge hidden in text content. In the business world, this translates in being able to reveal insights, patterns and trends in even large volumes of unstructured data. In fact, it's this ability to push aside all of the non-relevant material and provide answers that is leading to its rapid adoption, especially in large organizations.