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Text Mining for Qualitative Data Analysis in the Social Sciences

A Study on Democratic Discourse in Germany

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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. 

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Titel: Text Mining for Qualitative Data Analysis in the Social Sciences
Autoren/Herausgeber: Gregor Wiedemann
Aus der Reihe: Kritische Studien zur Demokratie
Ausgabe: 1st ed. 2016

ISBN/EAN: 9783658153083

Seitenzahl: 294
Format: 21 x 14,8 cm
Produktform: Taschenbuch/Softcover
Gewicht: 410 g
Sprache: Englisch

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.

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