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.
- | Author: Markus Hofmann
- | Publisher: CRC Press
- | Publication Date: Dec 18, 2015
- | Number of Pages: 348 pages
- | Binding: Hardback or Cased Book
- | ISBN-10: 1482237571
- | ISBN-13: 9781482237573
