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Text Mining for Qualitative Data Analysis in the Social Sciences: A Study on Democratic Discourse in Germany (Kritische Studien zur Demokratie) - Tapa blanda
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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Acerca del 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, which develops a European virtual research infrastructure for digital language data analysis in the social sciences and humanities.
De la contraportada
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.
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
Target Groups
• Researchers and students in the fields of social sciences, digital humanities and communication science, scientists interested in innovative text analysis methods, computer scientists in interdisciplinary projects or research fields working with large amounts of textual data
The Author
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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Text Mining for Qualitative Data Analysis in the Social Sciences: A Study on Democratic Discourse in Germany
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Springer VS, 2016
ISBN 10: 3658153083
ISBN 13: 9783658153083
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Text Mining for Qualitative Data Analysis in the Social Sciences: A Study on Democratic Discourse in Germany (Kritische Studien zur Demokratie)
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Text Mining for Qualitative Data Analysis in the Social Sciences: A Study on Democratic Discourse in Germany
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Text Mining for Qualitative Data Analysis in the Social Sciences
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Study in the field of social sciencesGregor 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 methodol. Nº de ref. del artículo: 127550766
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Text Mining for Qualitative Data Analysis in the Social Sciences
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ISBN 13: 9783658153083
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 312 pp. Englisch. Nº de ref. del artículo: 9783658153083
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Text Mining for Qualitative Data Analysis in the Social Sciences : A Study on Democratic Discourse in Germany
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Springer Fachmedien Wiesbaden, 2016
ISBN 10: 3658153083
ISBN 13: 9783658153083
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783658153083
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Text Mining for Qualitative Data Analysis in the Social Sciences: A Study on Democratic Discourse in Germany (Kritische Studien zur Demokratie)
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Taschenbuch. Condición: Neu. Neuware -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.Springer VS in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 312 pp. Englisch. Nº de ref. del artículo: 9783658153083
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