Computational Methods for Text Analysis

2026/2027

Учебный год

ENG

Обучение ведется на английском языке

5

Кредиты

Кто читает:

Департамент социологии

Статус:

Курс по выбору

Когда читается:

3-й курс, 1, 2 модуль

Преподаватель

Ткач Сергей

Course Syllabus

Abstract

For social science research, 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 social media users of a town"), time spans (e.g. "all of the Post-Soviet history"), and geographical scope (e.g. "all educational migration in Russia"). Computational methods for text analysis promise to aid at the scale where traditional content analysis is not feasible. During the course we will cover basic word statistics, various exploratory methods, supervised and unsupervised modeling of text phenomena.