Sergei Koltsov
- Leading Research Fellow: HSE Campus in St. Petersburg / Saint-Petersburg School of Social Sciences / Laboratory for Social and Cognitive Informatics
- Professor: HSE Campus in St. Petersburg / St. Petersburg School of Physics, Mathematics, and Computer Science / Department of Informatics
- Programme Academic Supervisor: Applied Data Analysis and Artificial Intelligence
- Sergei Koltsov has been at HSE University since 2016.
Education and Degrees
RAS Institute for Analytical Instrumentation
St Petersburg State University
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.
Courses (2024/2025)
- Deep Learning (Mago-Lego; 1, 2 module)Rus
- Deep Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
- Deep Learning Basics (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3 year, 1-4 module)Rus
- Past Courses
Courses (2023/2024)
- Deep Learning (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 3 year, 3, 4 module)Rus
- Deep Learning (Mago-Lego; 3, 4 module)Eng
- Deep Learning (Mago-Lego; 1, 2 module)Rus
- Deep Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3, 4 module)Eng
- Deep Learning (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 2 year, 1, 2 module)Rus
- Natural Language Processing (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 4 year, 3 module)Rus
- Natural Language Processing (Mago-Lego; 3, 4 module)Rus
- Natural Language Processing (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3, 4 module)Rus
- Text mining: Advanced Level (Mago-Lego; 1 module)Eng
Courses (2022/2023)
- Machine Learning (Bachelor’s programme; Saint-Petersburg School of Social Sciences; 4 year, 1, 2 module)Eng
- Machine Learning (Bachelor’s programme; Saint-Petersburg School of Social Sciences; 3 year, 1, 2 module)Eng
- Natural Language Processing (Bachelor’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 4 year, 3 module)Rus
- Natural Language Processing (Mago-Lego; 3 module)Rus
- Natural Language Processing (Master’s programme; St. Petersburg School of Physics, Mathematics, and Computer Science ; 1 year, 3 module)Rus
- Text mining: Advanced Level (Master’s programme; Saint-Petersburg School of Social Sciences; 2 year, 1 module)Eng
- Text mining: Advanced Level (Mago-Lego; 1 module)Eng
Courses (2021/2022)
- Big Data Analysis Technologies (Bachelor’s programme; Saint-Petersburg School of Social Sciences; 2 year, 1, 2 module)Rus
- Machine Learning (Master’s programme; Saint-Petersburg School of Social Sciences; 2 year, 1 module)Eng
Courses (2020/2021)
- Big Data analysis technologies (Bachelor’s programme; Saint-Petersburg School of Social Sciences; 2 year, 3 module)Rus
- Machine Learning (Master’s programme; Saint-Petersburg School of Social Sciences; 2 year, 1 module)Eng
Conferences
- 2016
8th ACM Conference on Web Science (Ганновер). Presentation: Stable Topic Modeling for Web Science: Granulated LDA
66th ICA Annual Conference (Fukuoka). Presentation: Topic Modeling in Online Communication Research: New Possibilities and Challenges
INSCI 2016 - Openness, Collaboration and Collective Action (Florence). Presentation: Stable Topic Modeling with Local Density Regularization
- 2015
XVIII Объединенная конференция "Интернет и современное общество" (IMS - 2015) (Санкт-Петерубург). Presentation: Linis-crowd.org: лексический ресурс для анализа тональности социально-политических текстов на русском языке
International Conference on Computational Social Science (Helsinki). Presentation: Topic Modeling Stability and Granulated LDA
СЕДЬМОЙ СЪЕЗД ВМСО (VI ВСЕРОССИЙСКАЯ КОНФЕРЕНЦИЯ С МЕЖДУНАРОДНЫМ УЧАСТИЕМ «МАСС-СПЕКТРОМЕТРИЯ И ЕЕ ПРИКЛАДНЫЕ ПРОБЛЕМЫ»). Presentation: Applicability of a large particles model for simulation of gas flow in a wide pressure interval.
СЕДЬМОЙ СЪЕЗД ВМСО (VI ВСЕРОССИЙСКАЯ КОНФЕРЕНЦИЯ С МЕЖДУНАРОДНЫМ УЧАСТИЕМ «МАСС-СПЕКТРОМЕТРИЯ И ЕЕ ПРИКЛАДНЫЕ ПРОБЛЕМЫ»). Presentation: Application of Volume Ray Casting technology for 3D visualization of gas dynamics simulation based on the Large Particle Model.
- 2014
The ACM Web Science 2014 Conference (Bloomington). Presentation: Koltsov S., Koltsova O., Nikolenko S. I. Latent Dirichlet Allocation: Stability and Applications to Studies of User-Generated content
ANALYSIS OF IMAGES, SOCIAL NETWORKS, AND TEXTS (Екатеринбург). Presentation: Общественное мнение онлайн: Сравнение структуры и тематики постов «обычных» и «популярных» блогеров Живого Журнала
XVII Всероссийская конференция «Интернет и современное общество» (Санкт-Петербург). Presentation: Интерпретация семантических связей в текстах русскоязычного сегмента Живого Журнала на основе тематической модели LDA
Dissertation for a degree of Doctor of Science
- 2023
S. Koltsov Энтропийные тематические модели и методы их агрегирования
Supervisor of the following Doctoral theses
- 1A. Surkov Optimization of machine learning algorithms with parameterized functions
Development of concept and methodology for multi-level monitoring of the state of interethnic relations with the data from social media
The goal of the project "Development of concept and methodology for multi-level monitoring of the state of interethnic relations with the data from social media" was to provide government officials, non-governmental organizations, and researchers with a well-tested methodology and a convenient tool to monitor the discussion of the problems of ethnicity and nationality by Internet users. The end result of our project should contain methodical recommendations and software tools for the analysis of text data mined from social networks. Our approach to monitoring is based on topic modeling, a class of algorithms that analyze cooccurrences of words in texts and based on this data find latent topics in text corpora that would be much too large to read for a human. The result of such an algorithm includes the probabilities of documents expressing certain topics and words appearing in a certain topic, which provides the user with a concise representation of the topical structure of the collection and distinguished texts that best represent specific topics. This approach is augmented with automated sentiment analysis and visualization of distributions of ethnic-related topics over regional and temporal structure of the collection. Thus, an analyst gets a graphic representation of where, when, with what polarity (positive or negative), and in what specific context certain ethnic groups are being discussed on the Web.
Researchers at HSE in St Petersburg Develop Superior Machine Learning Model for Determining Text Topics
Topic models are machine learning algorithms designed to analyse large text collections based on their topics. Scientists at HSE Campus in St Petersburg compared five topic models to determine which ones performed better. Two models, including GLDAW developed by the Laboratory for Social and Cognitive Informatics at HSE Campus in St Petersburg, made the lowest number of errors. The paper has been published in PeerJ Computer Science.
Sergei Koltsov has assumed the position of professor at the HSE University
The leading research fellow of SCILA successfully competed for a professorship position at the Department of Informatics of the St. Petersburg School of Physics, Mathematics, and Computer Science.
How HSE University-St Petersburg Spent 2023
The year is gradually wrapping up, which means it's high time to take stock and thank each other for our joint work. Learn about the brightest and most important events which happened at HSE University-St Petersburg this year from professors, academic supervisors and deans of the campus faculties. Happy New Year! May your year be filled with inspiration and energy for new achievements!
The SCILA won a Russian Science Foundation grant to study the use of large language models for solving differential equations
On November 28, 2023, the results of the Russian Science Foundation competition were announced: the application submitted by the Laboratory of Social and Cognitive Informatics received support for the year 2024.
Sergey Koltsov spoke at a seminar at Sirius University
From November 20th to November 24th, 2023, a seminar on "Mathematical Modeling of Materials: Modern Research and Training of Specialists" took place at Sirius University of Science and Technology. On November 21st, Sergey Koltsov, a leading researcher from the Laboratory of Social and Cognitive Informatics, gave a presentation at the event.
The results of the Joint Project of SCILA and VTB were Published
The journal PeerJComputerScience (IF = 2.41) published an article with the results of a joint project of the SCILA and VTB Bank.
Defence of the doctoral dissertation of Sergey Nikolaevich Koltsov
On February 1, the defense of the dissertation by Sergey Nikolaevich Koltsov took place on the topic: “Entropy thematic models and methods for their aggregation”.
LINIS on CSP2018
LINIS Junior Research Fellow Vera Ignatenko took part at the International Conference on Computer Simulation in Physics and beyond (CSP2018) held September 24-27 2018 in Moskow.
Data Science for everybody!
Sergei Koltsov, the IT-director of LINIS, took a part in intensive seminar, which was held in the office of Yandex in Moscow on June 14-15.
Web Science-2017 in Saint-Petersburg!
We are happy to congratulate our colleagues on winning in WSTNet Web science Summer School competitive proposal procedure!
Openness, Collaboration and Collective Action!
It was the motto of the 3rd International Conference on Internet Science-2016, which was attended by members of the LINIS. September 12-14 in Florence, scientists, practitioners and politicians from around the world came together to discuss socially important problems and their solutions.
ISMW FRUCT-2016
Sergey Koltsov and Olesya Koltsova was invited as experts in the field of topic modeling to conduct workshops at International FRUCT conference ISMW-2016.
LINIS Found the Limitations of Text Clustering on the Internet
Sergey Koltsov, Deputy Director of the Laboratory for Internet Studies (LINIS), presented his project on the problems of topic modeling of on-line texts at the Web Science conference in Bloomington.