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Text Mining and Visualization

- Case Studies Using Open-Source Tools

part of the Chapman & Hall/CRC Data Mining and Knowledge Discovery Series series

Text Mining and Visualization
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 30, 2020
  • Dimensions:
  • 178x254x0 mm.
  • Weight:
  • 640 g.
Delivery: 1-2 weeks
Expected delivery: October 17, 2024

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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