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Bag om 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 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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Sprog:
Engelsk

ISBN:
9781482237573

Forlag:
Taylor & Francis Inc

Indbinding:
Hardback

Sideantal:
348

Udgivet:
18. December 2015

Størrelse:
261x188x24 mm.

Vægt:
804 g.

Leveringstid: 8-11 hverdage.
Forventet levering: 16. Oktober 2024

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Beskrivelse af 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 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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