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Text Mining and Visualization

By Markus Hofmann

Text Mining and Visualization Law

Text Mining and Visualization

By Markus Hofmann

0 - Default Title
Description
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.
Product details
Edition:
illustrated
Number of Pages:
348
Release Date:
2015-12-18
Publication Date:
2015-12-18
Publisher:
Chapman and Hall/CRC
Languages:
Original: English
ISBN10:
1482237571
ISBN13:
9781482237573
Weight:
850 g
Height:
183 cm
Width:
260 cm
Thickness:
23 cm
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