《Text Mining for Qualitative Data Analysis in the Social Science》是Springer出版的圖書，作者是Gregor Wiedemann
基本介紹
- 中文名：Text Mining for Qualitative Data Analysis in the Social Science
- 作者：Gregor Wiedemann
- 出版社：Springer
- 出版時間：2016年
- 頁數：294 頁
- ISBN：9783658153090
內容簡介
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 su...(展開全部) 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 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.
