Text Mining is an interdisciplinary field bringing together techniques from data mining, linguistics, machine learning, information retrieval, pattern recognition, statistics, databases, and visualization to address the issue of quickly extracting information from large databases. This book 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. The authors assume readers have little or no previous knowledge about mathematics or linguistics and the book will, therefore, also be a useful resource for graduate students in business and intelligence, and undergraduates in computer science.
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Alessandro Zanasi is a security research advisor and professor at Bologna University, Italy. Before he served as Carabinieri officer in Rome Scientific Investigations Center; IBM executive in Italy, Paris and San Jose (USA); META Group analyst; cofounder of Temis SA.As an intelligence specialist, he has been advising governments and corporations in security, intelligence and detection technologies for more than twenty years. Among the others: European Commission through his membership, since 2005, to ESRAB-European Security Research Advisory Board and, since 2007, to ESRIF-European Security Research and Innovation Forum.
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