The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

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Ronen Feldman, James SangerCambridge University Press, 2/22/2007EAN 9780521836579, ISBN10: 0521836573Hardcover, 424 pages, 25.3 x 17.7 x 2.4 cmLanguage: EnglishText mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection – a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining – also provides new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, the book 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.1. Introduction to text mining2. Core text mining operations3. Text mining preprocessing techniques4. Categorization5. Clustering6. Information extraction7. Probabilistic models for Information extraction8. Preprocessing applications using probabilistic and hybrid approaches9. Presentation-layer considerations for browsing and query refinement10. Visualization approaches11. Link analysis12. Text mining applicationsAppendixBibliography. Show more