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Text Mining for Qualitative Data Ana...
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Wiedemann, Gregor.
Text Mining for Qualitative Data Analysis in the Social Sciences = A Study on Democratic Discourse in Germany /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Text Mining for Qualitative Data Analysis in the Social Sciences/ by Gregor Wiedemann.
Reminder of title:
A Study on Democratic Discourse in Germany /
Author:
Wiedemann, Gregor.
Description:
XVII, 294 p. 24 illus.online resource. :
Contained By:
Springer Nature eBook
Subject:
Social sciences. -
Online resource:
https://doi.org/10.1007/978-3-658-15309-0
ISBN:
9783658153090
Text Mining for Qualitative Data Analysis in the Social Sciences = A Study on Democratic Discourse in Germany /
Wiedemann, Gregor.
Text Mining for Qualitative Data Analysis in the Social Sciences
A Study on Democratic Discourse in Germany /[electronic resource] :by Gregor Wiedemann. - 1st ed. 2016. - XVII, 294 p. 24 illus.online resource. - Kritische Studien zur Demokratie,2567-062X. - Kritische Studien zur Demokratie,.
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.
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.
ISBN: 9783658153090
Standard No.: 10.1007/978-3-658-15309-0doiSubjects--Topical Terms:
572679
Social sciences.
LC Class. No.: H61-61.95
Dewey Class. No.: 300.1
Text Mining for Qualitative Data Analysis in the Social Sciences = A Study on Democratic Discourse in Germany /
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