The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Ronen Feldman, James Sanger , " The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data"
Cambridge University Press (December 11, 2006) | ISBN:0521836573 | 422 pages | PDF | 4,2 Mb
Text mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, it explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.
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Cambridge University Press Natural Language Processing James Sanger Detection Algorithms Core Text Text Mining Counter Terrorism Cambridge University Unstructured Data Knowledge Representation Critical Applications Information Overload Business Intelligen
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