Text Mining and Visualization Case Studies Using Open-Source Tools |
|
| Editor:
| Hofmann, Markus
Chisholm, Andrew |
| Series title: | Chapman and Hall/CRC Data Mining and Knowledge Discovery Ser. |
| ISBN: | 978-1-4822-3758-0 |
| Publication Date: | Jan 2016 |
| Publisher: | CRC Press LLC
|
| Imprint: | Chapman & Hall/CRC |
| Book Format: | Digital (delivered electronically) |
| List Price: | USD $59.95USD $140.00USD $190.00 |
Book 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...
More DescriptionThis 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.