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

Text Mining and Visualization

Case Studies Using Open-Source Tools

By: Markus Hofmann

eText | 5 January 2016 | Edition Number 1

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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.
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Published: 30th June 2020

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