March 2025

5 Weeks

Intro to
Quantitative
Text Analysis
in R

Intensive course

Персональная обратная связь от преподавателя

Бессрочный доступ к методическим материалам

Авторская методика аналитического чтения

What Will the Course Give You?

The course focuses on quantitative text analysis (QTA) with R/RStudio. It discusses the fundamentals of QTA – the formation of corpora, tokenization of corpora, stemming and lemmatization, working with stop words, basic methods of quantitative text analysis, and visualization.

1

Basic knowledge of statistics

2

Basic knowledge of R and RStudio (tidyverse library, basic R functions)

3

Basic skills in scrapping and parsing techniques to further deepen your knowledge

4

Examples of code to apply in your own data analysis projects

1

Basic knowledge of R/RStudio (data types and structures, data transformation with dplyr)

2

Basic skills in quantitative text analysis (quanteda package)

3

Examples of code to apply in your own text analysis projects

4

Examples of code to apply in your own data analysis projects

Concept

The course is aimed at mastering basic professional skills by social and political science students. The course focuses on the logic and development of an empirical research program, the organization of research process, and the preparation and presentation of scientific texts of various academic genres. It is planned to conduct seminars and workshops at which students discuss course topics based on the material of their research projects, and also analyze the experience of conducting certain research projects by other scholars.

Course participants will submit short written responses on the course-related tasks, book reviews (about 1000-1500 words) and finally, drafting of research proposals related to their master’s or other projects.

Who For?

The course is oriented towards those coming from non-tech backgrounds: students and researchers from social sciences and humanities, journalists, and public policy experts, who have not used programming and quantitative text analysis in their practice before but would like to acquire new hard skills in text processing and data analysis.

1. Academic researchers and students
For those coming from social sciences and humanities

2. Public policy analysis experts
For those from think tanks and research organizations

3. Data journalists and independent investigators
For those collecting and analyzing open-source data

4. Anybody interested in automation of text analysis

Program

Classes will be held twice a week on evenings in Zoom.
A detailed schedule will be distributed to registered participants one week before the start of the course.

History and fundamental principles of quantitative text analysis. Bag of words methodology. Introduction to R/RStudio and the quanteda package.
Text corpus creation, tokenization, and working with stopwords. Stemming and lemmatization.
Generating a document frequency matrix (DFM), a feature co-occurrence matrix (FCM), and calculating the term frequency-inverse document frequency (TF-IDF) metric.

Введение в UX и STS Что такое продукт? Какие есть исследования пользователей? Кто такие пользователи? На эти простые, но важные вопросы мы ответим на первом занятии, чтобы понять, зачем изучать пользователей, и что будет, если этого не делать. Мы также познакомимся со слушателями и преподавателями курса.

Word frequency calculation. Calculation of FCM. Visualization of word frequencies. Visualization of the context in which a feature is used within the text corpus.

Topic modeling with Naive Bayes Classifier and Latent Dirichlet Allocation. Visualization of results.

Введение в UX и STS Что такое продукт? Какие есть исследования пользователей? Кто такие пользователи? На эти простые, но важные вопросы мы ответим на первом занятии, чтобы понять, зачем изучать пользователей, и что будет, если этого не делать. Мы также познакомимся со слушателями и преподавателями курса.

Course Instructor

Research Fellow at YCIE,
Doctoral Researcher at the University Of Helsinki

Iurii taught courses on foreign policy analysis, EU foreign policy, political regimes, post-Soviet studies, political sociology, and comparative political science at the European University in St. Petersburg, RANEPA, HSE St. Petersburg. Currently, he studies the foreign policy of the European Union.

Academic interests relate to European studies, foreign policy analysis, EU foreign policy, and the dynamics of political regimes in the post-Soviet space, as well as public policy analysis, scraping, parsing, and quantitative analysis of data.

Research Fellow at YCIE,
Doctoral Researcher at the University Of Helsinki

Candidate of Economic Sciences,

Senior Researcher at the Department Of Economics of the European University at St. Petersburg

Research Fellow at Center for Econometrics and Business Analytics, SPSU

Iurii taught courses on foreign policy analysis, EU foreign policy, political regimes, post-Soviet studies, political sociology, and comparative political science at the European University in St. Petersburg, RANEPA, HSE St. Petersburg. Currently, he studies the foreign policy of the European Union.

Candidate of Economic Sciences,

Senior Researcher at the Department Of Economics of the European University at St. Petersburg

Research Fellow at Center for Econometrics and Business Analytics, SPSU

Price

(~14,600₽, ~150$)

FOR STUDENTS

YCIE will award scholarships to the BA and MA-level students
with the best motivation letters.

WHAT IS INCLUDED IN THE PRICE?

  • 20 hours of theory and practice
  • 20 hours of coding sessions
  • Full support during the course:
    Communication with instructors and fellow learners through a shared chat
  • Certificate of YCIE

PREREGISTER
ANYTIME!

Have any questions?
Contact us!

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Education (YCIE), All Rights Reserved

31/4 Charents Sr. 0025, Yerevan, Armenia

© 2024 Yerevan Center for International

Education (YCIE), All Rights Reserved