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Text Mining and Visualization|Markus Hofmann

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

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Overview

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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Details

  • ISBN-13: 9780367575205
  • ISBN-10: 0367575205
  • Publisher: CRC Press
  • Publish Date: June 2020
  • Dimensions: 9.69 x 7.44 x 0.72 inches
  • Shipping Weight: 1.37 pounds
  • Page Count: 348

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