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Text Mining and Visualization
DOI link for Text Mining and Visualization
Text Mining and Visualization book
Case Studies Using Open-Source Tools
Text Mining and Visualization
DOI link for Text Mining and Visualization
Text Mining and Visualization book
Case Studies Using Open-Source Tools
Edited ByMarkus Hofmann, Andrew Chisholm
Edition 1st Edition
First Published 2015
eBook Published 16 December 2015
Pub. Location New York
Imprint Chapman and Hall/CRC
Pages 337
eBook ISBN 9780429161971
Subjects Engineering & Technology, Mathematics & Statistics
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Hofmann, M., & Chisholm, A. (Eds.). (2015). Text Mining and Visualization: Case Studies Using Open-Source Tools (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b19007
ABSTRACT
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
TABLE OF CONTENTS
part I|2 pages
RapidMiner
chapter 2|24 pages
Empirical Zipf-Mandelbrot Variation for Sequential Windows within Documents
ByAndrew Chisholm
part II|2 pages
KNIME
chapter 4|12 pages
Social Media Analysis — Text Mining Meets Network Mining
ByKilian Thiel, Tobias Ko¨tter, Rosaria Silipo, and Phil Winters
part III|2 pages
Python
chapter 6|20 pages
Sentiment Classification and Visualization of Product Review Data
ByAlexander Piazza, Pavlina Davcheva
chapter 8|26 pages
Temporally Aware Online News Mining and Visualization with Python
ByPython Kyle Goslin
part IV|2 pages
R
chapter 10|18 pages
Sentiment Analysis of Stock Market Behavior from Twitter Using the R Tool
ByNuno Oliveira, Paulo Cortez, Nelson Areal
chapter 12|31 pages
Empirical Analysis of the Stack Overflow Tags Network
ByChristos Iraklis Tsatsoulis
