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Text Mining and Visualization /

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...

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Bibliographic Details
Main Authors: Hofmann, Markus (Author), Chisholm, Andrew (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: Chapman and Hall/CRC, 2016.
Edition:1st edition
Subjects:
Electronic books.
Online Access:Connect to this electronic resource
Description
Summary: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 w
Physical Description:1 online resource (337 pages)
Format:Mode of access: World Wide Web.