The massive daily overflow of electronic data to information seekers creates the need for better ways to digest and organize this information to make it understandable and useful. Text mining, a variation of data mining, extracts desired information from large, unstructured text collections stored in electronic forms.""The Handbook of Research on Text and Web Mining Technologies"" is the first comprehensive reference to the state of research in the field of text mining, serving a pivotal role in educating practitioners in the field. This compendium of pioneering studies from leading experts is essential to academic reference collections and introduces researchers and students to cutting-edge techniques for gaining knowledge discovery from unstructured text.This title features 47 authoritative contributions by over 80 of the world's leading experts in text and Web mining technologies from 16 countries. It presents a comprehensive coverage of each specific topic, highlighting recent trends and describing the latest advances in the field. It contains more than 1,000 references to existing literature and research on text and Web mining technologies. It also presents a compendium of over 270 key terms with detailed definitions. The title is organized by topic and indexed, making it a convenient method of reference for all IT/IS scholars and professionals. It offers cross-referencing of key terms, figures, and information pertinent to text and Web mining technologies.
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Min Song, Old Dominion University, USA. Yi-Fang Brook Wu, New Jersey Institute of Technology, USA.
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