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Text Mining and Visualization : Case Studies Using Open-Source Tools (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

By: Andrew Chisholm (Edited by) , Markus Hofmann (Edited by)

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Ksh 24,050.00

Format: Hardback or Cased Book

ISBN-10: 1482237571

ISBN-13: 9781482237573

Collection / Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Collection Type: Publisher collection

Publisher: Taylor & Francis Inc

Imprint: Chapman & Hall/CRC

Country of Manufacture: CA

Country of Publication: GB

Publication Date: Dec 18th, 2015

Publication Status: Active

Product extent: 348 Pages

Weight: 804.00 grams

Dimensions (height x width x thickness): 18.80 x 26.10 x 2.40 cms

Product Classification / Subject(s): Data mining

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This book 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 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 readers can follow as part of a step-by-step, reproducible example. The examples used are available on a supplementary website.

This book 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 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 readers can follow as part of a step-by-step, reproducible example. The examples used are available on a supplementary website.

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