Practical text mining and statistical analysis pdf

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practical text mining and statistical analysis pdf

Practical text mining and statistical analysis for non structured tex…

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Published 15.01.2019

Text Mining Example Using RapidMiner

From the same industry leaders who brought you the "bible" of data mining comes the definitive, go-to text mining resource.

PDF Download - Practical Text Mining and Statistical Analysis for Non-structured Text Data

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. Winner of a 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 explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. 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.

Skip to search form Skip to main content. Fast Published DOI: 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. View via Publisher. Alternate Sources.

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. Winner of a 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 explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly.

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2 COMMENTS

  1. Noah G. says:

    Practical Text Mining and Statistical Analysis for Non-structured. Text Data Applications. Gary Miner. Tulsa, OK, USA. Dursun Delen. Tulsa, OK, USA. John Elder.

  2. Merlino A. says:

    Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising.

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