[PDF.54us] Text Mining and Visualization: Case Studies Using Open-Source Tools (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Text Mining and Visualization: Case Studies Using Open-Source Tools (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

[PDF.ai97] Text Mining and Visualization: Case Studies Using Open-Source Tools (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

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 | #1177571 in Books |  Chapman and Hall CRC |  2015-12-18 | Original language:English | PDF # 1 |  10.25 x7.25 x1.00l,.0 | File type: PDF | 337 pages

 | Chapman and Hall CRC

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||0 of 0 people found the following review helpful.| book good, printing poor|By Dr. J|getting the book was good but there was a whole chapter the major parts of which were unreadable due to very light printing - on the whole,the book is well done| ||"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 outst

Text Mining and Visualization: Case Studies Using Open-Source Tools 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―all highly experienced with text mining and open-source software―explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media s...

You can specify the type of files you want, for your gadget.Text Mining and Visualization: Case Studies Using Open-Source Tools (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)   |  From Chapman and Hall CRC. A good, fresh read, highly recommended.

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