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К задаче определения функционального стиля документа на естественном языке
С. 615–626.
Volkova L. L.
In book
М.: Институт прикладной математики им. М.В. Келдыша РАН, 2015.
Абрегова З. Х., Dvoynikova A., В кн.: Альманах научных работ молодых ученых Университета ИТМО.: Университет ИТМО, 2025. С. 487–493.
В статье рассматриваются различные методы аспектного анализа тональности текстовых данных, включая как традиционные методы, основанные на правилах, так и современные алгоритмы машинного и глубокого обучения. В работе представлен сравнительный анализ корпусов данных и методов аспектного анализа тональности текстов, который является важной задачей в области обработки естественного языка и анализа данных. ...
Added: April 25, 2026
Fedorov A., Вакку Г. В., Лебедева С. Э., Галактика медиа: журнал медиа исследований 2026 Т. 8 № 2 С. 163–182
With the increasing volume of data, university faculty may spend years processing and organizing information. Personalized assistance, content recommendations, data collection for literature reviews, and bibliographic citation formatting reinforce the role of artificial intelligence and neural network tools for scholarly communication. This paper discusses practical examples of using tools such as Elicit, SciSpace, Consensus, Undermind, ...
Added: April 7, 2026
Психолингвистический анализ непрофессионального дискурса о коррупции в социальной сети в «ВКонтакте»
Кузнецова Ю. М., Maksimenko A., Станкевич М. А. et al., Мониторинг общественного мнения: Экономические и социальные перемены 2026 № 1 С. 231–250
The article is devoted to the analysis of the non-professional online discourse on corruption presented on the social network VKontakte. Unlike the institutional or expert approach, the focus on everyday, user-generated reflection allows you to capture the deep values, forms of expression and linguistic patterns of everyday morality, which is especially important in the context ...
Added: November 6, 2025
Галочкин А. Е., Филологические науки в МГИМО 2024 Т. 10 № 2 С. 23–37
This paper attempts to measure populism in English-language speeches of politicians using computational linguistics methods. The relevance of this study is related not only to the rise of populism in the world and the importance of understanding the mechanisms of political discourse, but also to the lack of linguistic research in the context of corpus ...
Added: September 19, 2024
Surikov A., Evgeniia Egorova, Procedia Computer Science 2020 Vol. 178 P. 182–193
Our research aims to develop an alternative method for analyzing the tonality of the texts. Most of the traditional methods for determining tonality classes are based on text analysis and ignore various emotional indicators that users actively used in social networks. Therefore, it improves the quality of predicting the tonality of the class. The study ...
Added: May 15, 2024
Pereyaslavtsev D., Городские исследования и практики 2023 Т. 7 № 4 С. 68–86
This paper explores the effects place image has on the place identity of residents of Sviblovo district in Moscow protesting the renovation program. Sviblovo was chosen as an example because of the abundant protests against Moscow’s renovation project from 2017 to this day. The main methodology used is the semantic analysis of social network and ...
Added: April 30, 2024
Kolmogorova A., М.: АйПиАр Медиа, 2024.
The textbook discusses the main resources and tools, the use of which will provide essential methodological support in conducting linguistic research of various levels and issues. The theoretical material is illustrated by practical cases from the author's experience. The publication uses the results of the project "Text as Big Data: Modelling Convergent Processes in Language ...
Added: March 18, 2024
Кругликова В. Г., В кн.: Анализ речи: теоретические и прикладные аспекты: сборник научных статей.: [б.и.], 2023.
The article presents a comparative analysis of various language models used to generate texts and evaluates their effectiveness for the task of generating conversational speech. There are such models as GPT-3, BERT, LSTM involved in the comparative analysis. This study is part of a project of developing a system for generating dialogues in Russian. The ...
Added: December 10, 2023
Baklanova V., Kurkin A., Teplova T., China Finance Review International 2024 Vol. 14 No. 3 P. 522–548
Purpose – The primary objective of this research is to provide a precise interpretation of the constructed
machine learning model and produce definitive summaries that can evaluate the influence of investor sentiment on the overall sales of non-fungible token (NFT) assets. To achieve this objective, the NFT hype
index was constructed as well as several approaches of ...
Added: December 10, 2023
Galitsky B., Ilvovsky D., Goncharova E., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог». Вып. 22.Вып. 22.: [б.и.], 2023.
We extend the concept of a discourse tree (DT) in the discourse representation of text towards data of various forms and natures. The communicative DT to include speech act theory, extended DT to ascend to the level of multiple documents, entity DT to track how discourse covers various entities were defined previously in computational linguistics, we now proceed ...
Added: November 10, 2023
Anastasia Kolmogorova, Alexander Kalinin, , in: Literature, Language and Computing: Russian Contribution.: Springer, 2023. P. 211–221.
The article summarizes the results of the project conducted in the field of emotional text analysis. The project aim is to build up an analyzer able, according to the model of “Lövheim Cube”, to detect eight emotions in the Internet-texts in Russian. Having collected a labeled dataset and trained ML models, we faced the problem ...
Added: October 31, 2023
Издательский дом ЯСК, 2023.
The collection presents articles by participants of the "Linguistic Forum 2020: Language and Artificial Intelligence" (conference, November 2020, RAS), reflecting general and specific problems of scientific research in the field of linguistics and computer technologies. The authors of the published articles offer solutions to special issues against the background of larger-scale objects of scientific heuristics ...
Added: October 31, 2023
Кусакин И. К., Цурупа А. М., Алмакаев А. В. et al., В кн.: НТИ-2022. Научная информация в современном мире: глобальные вызовы и национальные приоритеты : материалы 10-ой научной конференции с международным участием, посвященной 70-летию ВИНИТИ РАН, Москва, 25–26 октября 2022 года.: М.: ВИНИТИ РАН, 2022. С. 103–109.
This work is devoted to the study of approaches for training BERT-based classifiers of scientific articles to implement the application with the adoption of the best models for use in the infrastructure of the VINITI RAS. For this purpose, the BERT linguistic model was trained on a specialized corpus of scientific texts for subsequent use ...
Added: January 31, 2023
Кусакин И. К., Федорец О. В., Romanov A., Научно-техническая информация. Серия 2: Информационные процессы и системы 2022 Т. 12 С. 6–9
This paper discusses modern approaches to natural language processing and appliance of artificial intelligence technologies in the task of classifying scientific texts in Russian. The report contains an analysis of implementations of text vectorization methods, a description of experiments with training various classifier models: from classical machine learning algorithms to neural network transformer architectures. ...
Added: January 31, 2023
Kirina M., Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация 2022 Т. 20 № 2 С. 93–109
В статье описываются результаты тематического моделирования малой художественной прозы на основе трех методов – латентного размещения Дирихле (LDA), структурного тематического моделирования (STM) и неотрицательной матричной факторизации (NMF) – в сочетании с разными вариантами предобработки текстов. Апробация экспериментального дизайна осуществляется на материале Корпуса русского рассказа 1900–1930 гг. Исследование позволило выявить особенности рассматриваемых алгоритмов и оценить эффективность ...
Added: December 10, 2022
Artemova E., Maksimenko A., Охрименко Д. А., Социология: методология, методы, математическое моделирование 2021 № 52 С. 131–157
The paper attempts to classify the corruption-related media content of Russianlanguage and English-language Internet media using machine learning methods. The methodological approach proposed in the article is very relevant and promising, since, according to our earlier data, corruption monitoring mechanisms used in foreign publications based on the use of advanced information technologies have rather limited ...
Added: March 23, 2022
Dmitry Soshnikov, Petrova T., Soshnikova V. et al., Big Data and Cognitive Computing 2022 Vol. 6 No. 1 Article 4
Since the beginning of the COVID-19 pandemic almost two years ago, there have been more than 700,000 scientific papers published on the subject. An individual researcher cannot possibly get acquainted with such a huge text corpus and, therefore, some help from artificial intelligence (AI) is highly needed. We propose the AI-based tool to help researchers ...
Added: February 22, 2022
Ternikov A., Бляхер М. Л., Мир России: Социология, этнология 2023 Т. 32 № 2 С. 74–96
An important challenge for the modern higher education system is to ensure that the skills of graduates of higher education institutions meet the needs of the labour market. This paper provides a comparative analysis of educational programs related to the field of social, mathematical and computer sciences, as well as comparable vacancies. The aim is ...
Added: February 9, 2022
Shirokanova A., Silyutina O., , in: Digital Transformation and Global Society. 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021, Revised Selected Papers.: Springer, 2022. P. 19–35.
Added: January 27, 2022