Non-Fiction, Computing & Technology, Applications & Programming

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

Markus Hofmann (editor), Andrew Chisholm (editor)

Hardback Published on: 10/12/2015

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Synopsis

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.