The Story
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.
Description
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.
