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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.

Type: Book

Author: Gregor Wiedemann
Title: Text Mining for Qualitative Data Analysis in the Social Sciences
Publisher: Springer
Year: 2016
AUTHOR = {Gregor Wiedemann},
TITLE = {Text Mining for Qualitative Data Analysis in the Social Sciences},
PUBLISHER = {Springer},
YEAR = {2016},
ADDRESS = {http://www.springer.com/de/book/9783658153083}