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

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 0367575205
• ISBN13: 9780367575205
• Release Date: June 2020
• Publisher: CRC Press
• Length: 348 Pages
• Weight: 1.37 lbs.
• Dimensions: 0.7" x 7.4" x 9.7"