[PDF.38ge] Text Mining and Visualization: Case Studies Using Open-Source Tools (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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Text Mining and Visualization: Case Studies Using Open-Source Tools (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
From Chapman and Hall CRC
[PDF.xs81] Text Mining and Visualization: Case Studies Using Open-Source Tools (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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| #1273190 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||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 device.Text Mining and Visualization: Case Studies Using Open-Source Tools (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) | From Chapman and Hall CRC. I really enjoyed this book and have already told so many people about it!
