The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

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Название: The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

Издательство: CUP

Автор: Ronen Feldman, James Sanger

Год: 2007

Количество страниц: 422

Формат: PDF

Размер: 8 mb

Язык: English

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.