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

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Leveringstid: 3-10 dager

Handlinger

Beskrivelse

Omtale

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.

  • Utgivelsesdato:

    30.06.2020

  • ISBN/Varenr:

    9780367575205

  • Språk:

    , Engelsk

  • Forlag:

    Chapman & Hall/CRC

  • Fagtema:

    Matematikk og naturvitenskap

  • Litteraturtype:

    Sakprosa

  • Sider:

    348

  • Høyde:

    25.4 cm

  • Bredde:

    17.8 cm

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