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This book provides an introduction to text mining using some of the most popular and powerful opensource 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 stepbystep, reproducible example. The examples used are available on a supplementary website.
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birth defects, or other reproductive harm.
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