Text Mining and Visualization : Case Studies Using Open-Source Tools
Book Details
Format
Paperback / Softback
ISBN-10
0367575205
ISBN-13
9780367575205
Publisher
Taylor & Francis Ltd
Imprint
Chapman & Hall/CRC
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 30th, 2020
Print length
348 Pages
Weight
453 grams
Product Classification:
Probability & statisticsProbability and statisticsAutomatic control engineeringData mining
Ksh 9,000.00
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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 chap
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.
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