Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. Get and download textbook Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications for free
Store Search search Title, ISBN and Author Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications by Gary Miner, John Elder Estimated delivery 3-12 business days Format Hardcover Condition Brand New Presents a comprehensive how - to reference that shows the user how to conduct text mining and statistically analyze results. This book explores real-world, mission-critical applications of text mining and link detection using real world example tutorials in such va
Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications new edition

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author andrew fast author dursun delen author gary miner author john elder iv author robert nisbet author thomas hill format hardback language english publication year 18 02 2012 subject computing it subject 2 computing professional programming payment shipping rates returns practical text mining and statistical analysis for non structured text data applications product category books isbn 012386979 x title practical text mining and statistical analysis for non structured text data applications

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The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dr

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications Textbook

Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a comprehensive how-to reference that shows the user how to conduct text mining and statistically analyze results
Finally, the book

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