Paperback. 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 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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T�tulo: Text Mining for Qualitative Data Analysis in the Social Sciences (Paperback)
Editor: Springer Fachmedien Wiesbaden, Weisbaden
Fecha de publicaci�n: 2016
Idioma: Ingl�s
ISBN 10: 3658153083
ISBN 13: 9783658153083
Encuadernaci�n: Paperback
Edici�n: 1� Edici�n
Estado: new

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Sinopsis

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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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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