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The Text Mining Handbook PDF

423 Pages·2007·4.729 MB·English
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Description:
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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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.