Text Mining and Visualization

Text Mining and Visualization
Author: Markus Hofmann
Publisher: CRC Press
Total Pages: 337
Release: 2016-01-05
Genre: Business & Economics
ISBN: 148223758X

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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 w


Text Mining and Visualization
Language: en
Pages: 337
Authors: Markus Hofmann
Categories: Business & Economics
Type: BOOK - Published: 2016-01-05 - Publisher: CRC Press

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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-sou
Text Mining with R
Language: en
Pages: 193
Authors: Julia Silge
Categories: Computers
Type: BOOK - Published: 2017-06-12 - Publisher: "O'Reilly Media, Inc."

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Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Fa
Visualizing with Text
Language: en
Pages: 299
Authors: Richard Brath
Categories: Computers
Type: BOOK - Published: 2020-11-01 - Publisher: CRC Press

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Visualizing with Text uncovers the rich palette of text elements usable in visualizations from simple labels through to documents. Using a multidisciplinary res
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
Language: en
Pages: 1096
Authors: Gary Miner
Categories: Computers
Type: BOOK - Published: 2012-01-11 - Publisher: Academic Press

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"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things
An Introduction to Text Mining
Language: en
Pages: 345
Authors: Gabe Ignatow
Categories: Computers
Type: BOOK - Published: 2017-09-22 - Publisher: SAGE Publications

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Students in social science courses communicate, socialize, shop, learn, and work online. When they are asked to collect data for course projects they are often