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Text Mining and Visualization

- Case Studies Using Open-Source Tools

About Text Mining and Visualization

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 chap

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  • Language:
  • English
  • ISBN:
  • 9780367575205
  • Binding:
  • Paperback
  • Pages:
  • 348
  • Published:
  • June 29, 2020
  • Dimensions:
  • 178x254x0 mm.
  • Weight:
  • 453 g.
Delivery: 1-2 weeks
Expected delivery: January 5, 2025
Extended return policy to January 30, 2025
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Description of Text Mining and Visualization

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 chap

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