Text Mining and Visualization
Case Studies Using Open-Source Tools
Markus Hofmann editor Andrew Chisholm editor
Format:Paperback
Publisher:Taylor & Francis Ltd
Published:30th Jun '20
Currently unavailable, and unfortunately no date known when it will be back
This paperback is available in another edition too:
- Hardback£91.99(9781482237573)
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.
"The timing of this book could not be better. It focuses on text mining, text being one of the data sources still to be truly harvested, and on open-source tools for the analysis and visualization of textual data. … Markus and Andrew have done an outstanding job bringing together this volume of both introductory and advanced material about text mining using modern open-source technology in a highly accessible way."
—From the Foreword by Professor Dr. Michael Berthold, University of Konstanz, Germany
ISBN: 9780367575205
Dimensions: unknown
Weight: 640g
348 pages