Text Mining and Visualization

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.