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Text Mining and Visualization: Case Studies Using Open-Source Tools

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by Markus Hofmann
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Text Mining and Visualization: Case Studies Using Open-Source Tools by Markus Hofmann

Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python.

The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Each chapter presents a case study that you can follow as part of a step-by-step, reproducible example. You can also easily apply and extend the techniques to other problems. All the examples are available on a supplementary website.

The book shows you how to exploit your text data, offering successful application examples and blueprints for you to tackle your text mining tasks and benefit from open and freely available tools. It gets you up to date on the latest and most powerful tools, the data mining process, and specific text mining activities.

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Ebook Details
Pages: 297
Size: 19.8 MB
Publisher: CRC Press
Date published:   2015
ISBN: 9781482237580 (DRM-PDF)

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This product is listed in the following categories:

Nonfiction > Computers > Machine Theory
Nonfiction > Business & Economics > Statistics
Nonfiction > Computers > Database Management > Database Mining

This author has products in the following categories:

Nonfiction > Computers > Computer Science
Nonfiction > Computers > Programming Languages
Nonfiction > Computers > Machine Theory
Nonfiction > Business & Economics > Statistics
Nonfiction > Computers > Database Management > Database Mining

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01/24/2017
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