Text Mining and Natural Language Processing

2022/2023

Academic Year

ENG

Instruction in English

3

ECTS credits

Delivered at:

Department of Sociology

Course type:

Compulsory course

When:

1 year, 3 module

Instructors

Мухин Кирилл Русланович

Яшина Виктория Викторовна

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.