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...
Tabela de Conteúdo
Qualitative Data Analysis in a Digital World.- Computer-Assisted Text Analysis in the Social Sciences.- Integrating Text Mining Applications for Comp...
Sobre o autor
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, whi...