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

Book Details

Format Hardback or Cased Book
Book Series Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
ISBN-10 1482237571
ISBN-13 9781482237573
Publisher Taylor & Francis Inc
Imprint Chapman & Hall/CRC
Country of Manufacture CA
Country of Publication GB
Publication Date Dec 18th, 2015
Print length 348 Pages
Weight 804 grams
Dimensions 18.80 x 26.10 x 2.40 cms
Product Classification: Data mining
Ksh 18,000.00
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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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