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Text Mining and Natural Language Processing

2022/2023
Academic Year
ENG
Instruction in English
3
ECTS credits
Course type:
Compulsory course
When:
1 year, 3 module

Course Syllabus

Abstract

For social and political sciences, written text provide essential data for studying ideology and political discourse, conflict, sentiment and political affiliation, among many other things. With a growing availability of larger collections of text in digital form it is tempting to scale the research up in terms of the population studied (e.g. “all of twitter”), time spans (e.g. “all of the American history”), and geographical scope (e.g. “all foreign ties of China”). Computational methods for text analysis promise to aid at the scale where traditional conetnt analysis is not feasible. We will use R programming environment as a toolbox for text analysis. To “learn by doing” we will work with real text collections and will replicate some methods from the recent social research employing computational text analysis.