Information Package / Course Catalogue
Multiple Variable Analysis
Course Code: MIS523
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 0
Lab: 0
ECTS: 7
Objectives of the Course

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

Course Content

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

Name of Lecturer(s)
Learning Outcomes
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