Following the success of the first edition of this book published two years ago, this New Edition, now in paperback format, has been updated and includes new data on the main market players (28 companies are described) to reflect the latest changes and developments within the text mining sector. Text Mining is an interdisciplinary field bringing together techniques from data mining, linguistics, information retrieval, and visualization to address the issue of quickly extracting information from large databases with different applicative objectives.This book is directed towards graduate students in business, and undergraduate students in computer science, and to practitioners in law enforcement, security, intelligence, marketing and IT departments; it assumes readers have little or no previous knowledge about mathematics or linguistics. It has been structured as a self-teaching guide and has been written as a result of the authors' experiences in participating in several large-scale text mining projects.It can be used as a guide for system integrators, and designers of text mining systems, but especially for business analysts and consultants who wish to apply the powerful tools of this technology to real situations.