Text Mining for Qualitative Data Analysis in the Social Sciences: A Study on Democratic Discourse in Germany. This item is unavailable.
Language: English
Published by Springer VS, 2016
- First Edition
- Softcover
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- Title
- Text Mining for Qualitative Data Analysis in the Social Sciences: A Study on Democratic Discourse in Germany
- Author
- Wiedemann, Gregor
- Publisher
- Springer VS
- Publication year
- 2016
- Condition
- As New
- Book Type
- Book
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3658153083
- ISBN 13
- 9783658153083
- Edition
- 1st Edition.
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.
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About the Author
Gregor Wiedemann holds a doctoral degree from Leipzig University, Germany. He is the coordinator of the discipline-specific working groups in the CLARIN-D project, which develops a European virtual research infrastructure for digital language data analysis in the social sciences and humanities.
"About the title" may belong to another edition of this title.
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