Text Mining and Visualization
Case Studies Using Open-Source Tools| By: | Markus Hofmann |
| Publisher: | Taylor & Francis |
| Print ISBN: | 9780367575205 |
| eText ISBN: | 9781482237580 |
| Edition: | 1 |
| Copyright: | 2016 |
| Format: | Page Fidelity |
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Table of Contents
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.