Text Mining for Qualitative Data Analysis in the Social Sciences is popular PDF and ePub book, written by Gregor Wiedemann in 2016-08-23, it is a fantastic choice for those who relish reading online the Social Science genre. Let's immerse ourselves in this engaging Social Science book by exploring the summary and details provided below. Remember, Text Mining for Qualitative Data Analysis in the Social Sciences can be Read Online from any device for your convenience.

Text Mining for Qualitative Data Analysis in the Social Sciences Book PDF Summary

Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of “democratic demarcation” in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing.

Detail Book of Text Mining for Qualitative Data Analysis in the Social Sciences PDF

Text Mining for Qualitative Data Analysis in the Social Sciences
  • Author : Gregor Wiedemann
  • Release : 23 August 2016
  • Publisher : Springer
  • ISBN : 9783658153090
  • Genre : Social Science
  • Total Page : 294 pages
  • Language : English
  • PDF File Size : 9,9 Mb

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