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      Text Mining and Visualization
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      Book

      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
      DOI https://doi.org/10.1201/b19007
      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 1|34 pages

      RapidMiner for Text Analytic Fundamentals

      ByJohn Ryan

      chapter 2|24 pages

      Empirical Zipf-Mandelbrot Variation for Sequential Windows within Documents

      ByAndrew Chisholm

      part II|2 pages

      KNIME

      chapter 3|18 pages

      Introduction to the KNIME Text Processing Extension

      ByKilian Thiel

      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 5|38 pages

      Mining Unstructured User Reviews with Python

      ByBrian Carter

      chapter 6|20 pages

      Sentiment Classification and Visualization of Product Review Data

      ByAlexander Piazza, Pavlina Davcheva

      chapter 7|20 pages

      Mining Search Logs for Usage Patterns

      ByTony Russell-Rose, Paul Clough

      chapter 8|26 pages

      Temporally Aware Online News Mining and Visualization with Python

      ByPython Kyle Goslin

      chapter 9|22 pages

      Text Classification Using Python

      ByDavid Colton

      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 11|24 pages

      Topic Modeling

      ByPatrick Buckley

      chapter 12|31 pages

      Empirical Analysis of the Stack Overflow Tags Network

      ByChristos Iraklis Tsatsoulis
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