Text mining for qualitative data analysis in the social sciences : a study on democratic discourse in Germany
Author(s)
Bibliographic Information
Text mining for qualitative data analysis in the social sciences : a study on democratic discourse in Germany
（Kritische Studien zur Demokratie）
Springer VS, c2016
- : pbk
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Note
Bibliography: p. [271]-294
Description and Table of Contents
Description
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.
Table of Contents
Qualitative Data Analysis in a Digital World.- Computer-Assisted Text Analysis in the Social Sciences.- Integrating Text Mining Applications for Complex Analysis.- Democratic Demarcation in Germany.- V-TM - A Methodological Framework for Social Sciences.- Integrating Qualitative and Computational Text Analysis.
by "Nielsen BookData"
