Text Mining for Qualitative Data Analysis in the Social Sciences
| Autor: | Gregor Wiedemann |
|---|---|
| EAN: | 9783658153090 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 23.08.2016 |
| Untertitel: | A Study on Democratic Discourse in Germany |
| Kategorie: | |
| Schlagworte: | Big Data Modeling Semantics Qualitative Text Analyses Text Qualification Workflows |
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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.
Gregor Wiedemann holds a PhD 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.
Gregor Wiedemann holds a PhD 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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