Text Mining and Visualization

Case Studies Using Open-Source Tools

Häftad, Engelska, 2020

Av Markus Hofmann, Andrew Chisholm

819 kr

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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.

Produktinformation

  • Utgivningsdatum2020-06-30
  • Mått178 x 254 x 19 mm
  • Vikt453 g
  • FormatHäftad
  • SpråkEngelska
  • SerieChapman & Hall/CRC Data Mining and Knowledge Discovery Series
  • Antal sidor348
  • FörlagTaylor & Francis Ltd
  • ISBN9780367575205