Text Mining for Qualitative Data Analysis in the Social Sciences (Paperback)

Gregor Wiedemann

ISBN 10: 3658153083 / ISBN 13: 9783658153083

Editore: Springer Fachmedien Wiesbaden, Weisbaden, 2016

Riguardo questo articolo

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.

Codice articolo 9783658153083

Dati bibliografici

• Titolo: Text Mining for Qualitative Data Analysis in the Social Sciences (Paperback)
• Editore: Springer Fachmedien Wiesbaden, Weisbaden
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3658153083
• ISBN 13: 9783658153083
• Rilegatura: Paperback
• Edizione: prima edizione
• Condizione: new

Descrizione articolo

Riassunto

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. 

Informazioni sull?autore

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.