Features
- Cover Type: Hard Cover with 368 pages
- Published by: WIT Press / Computational Mechanics May 20, 2005
- Written in: English
- ISBN 10 Number: 185312995X
- ISBN 13 Number: 978-1853129957
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Book Dimensions:
9.1 x 6.4 x 1.2 inches
- Weighs: 1.7 pounds
Book Description
Organizations generate and collect large volumes of textual data. Unfortunately, many companies are unable to capitalize fully on the value of this data because information implicit within it is not easy to discern. Primarily intended for business analysts and statisticians across multiple industries, this book provides an introduction to the types of problems encountered and current available text mining solutions.
Partial Contents: Text processing and information retrieval; Application integration in applied text mining; ROI in text mining projects; Open sources automatic analysis for corporate and government intelligence; Customer feedbacks and opinion surveys analysis in the automotive industry; Text mining based knowledge management in banking; Text mining in life sciences; Link analysis in
About The Author
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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