【数据分析】 Text Mining for Qualitative Data Analysis in the Social Sci (2016)

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Text Mining for Qualitative Data Analysis in the Social Sciences
A Study on Democratic Discourse in Germany

Authors: Gregor Wiedemann



Study in the field of social sciences

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.

Table of contents

Front Matter
Pages I-XVII

Introduction: Qualitative Data Analysis in a Digital World
Pages 1-16

Computer-Assisted Text Analysis in the Social Sciences
Pages 17-54

Integrating Text Mining Applications for Complex Analysis
Pages 55-166

Exemplary Study: Democratic Demarcation in Germany
Pages 167-211

V-TM – A Methodological Framework for Social Science
Pages 213-249

Summary: Integrating Qualitative and Computational Text Analysis
Pages 251-260

Back Matter
Pages 261-294

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关键词：Qualitative Text Mining Analysis Analysi alysis conceptual research relating selected methods

Text Mining for Qualitative Data Analysis in the Social Sciences 2016

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