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Detection of semantic changes in Russian nouns with distributional models and grammatical features
P. 597–606.
In book
Issue 20: Основной том. , -, 2021.
Kirina M., Chepovetskaia S., , in: Speech and Computer. 28th International Conference, SPECOM 2026, Ohrid, North Macedonia, September 17–18, 2026, Proceedings, Part II. LNCS, volume 16935.: Springer, 2026. P. 58–75.
This paper presents the results of an experiment comparing automatic and human emotion and sentiment detection in transcripts of Russian spontaneous speech. The study is based on a dataset derived from the Everyday Student Conversations corpus of Russian speech (ESC Corpus/KURS), comprising 26,137 speaker turns (326,527 tokens) obtained through automatic speech recognition of 226 macro-episodes ...
Added: September 20, 2026
Kruchinskaia E., Вестник Российского университета дружбы народов. Серия: Политология 2025 Т. 27 № 3 С. 459–478
In the context of the current rise in global political tensions and widespread protests, the examination of affective polarization dynamics has become increasingly significant. This phenomenon, which previously dominated the American political scene and was studied through the lens of party affiliation, is now gaining attention in other countries as well. Affective polarization has been ...
Added: October 19, 2025
Serikov O., Ganeeva V., Аксенова А. А. et al., Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация 2023 Т. 21 № 1 С. 67–82
Since its inception, the Word2vec vector space has become a universal tool both for scientific and practical activities. Over time, it became clear that there is a lack of new methods for interpreting the location of words in vector spaces. The existing methods included consideration of analogies or clustering of a vector space. In recent ...
Added: April 28, 2025
Kruchinskaia E., Политическая наука 2025 № 1 С. 156–180
The article examines the phenomenon of affective political polarization, which is operationalized through the fact of detected hate speech. In this study we have made two assumptions. Firstly, it is believed that during political mobilization, affective polarization (hate speech) will be significantly stronger than during the non-protest period, although hate speech will be detected for ...
Added: March 12, 2025
Nazarova A., Malik M. S., Ignatov D. I. et al., Social Network Analysis and Mining 2024 Vol. 14 Article 228
Identifcation of threatening comments on social media platforms has recently gained attention. Prior approaches have addressed
this task in some low-resource languages but the interpretability of results was not studied. In addition, approaches in the English
language are minimal. To support explainable predictive inference, this research proposes an inherently explainable model for threat
comment identifcation on Twitter. The ...
Added: December 11, 2024
Orekhov B., / Series Computer Science "arxiv.org". 2024.
In this paper, I apply linguistic methods of analysis to non-linguistic data, chess plays, metaphorically equating one with the other and seeking analogies. Chess game notations are also a kind of text, and one can consider the records of moves or positions of pieces as words and statements in a certain language. In this article ...
Added: August 8, 2024
Malik M. S., Nawaz A., Jamjoom M. M. et al., Intelligent Data Analysis 2024 Vol. 28 No. 4 P. 1045–1065
Online product reviews (OPR) are a commonly used medium for consumers to communicate their experiences with products during online shopping. Previous studies have investigated the helpfulness of OPRs using frequency-based, linguistic, meta-data, readability, and reviewer attributes. In this study, we explored the impact of robust contextual word embeddings, topic, and language models in predicting the ...
Added: February 26, 2024
Matkin N., Коммуникации. Медиа. Дизайн 2025 Т. 10 № 3 С. 89–110
The article offers an analysis and visualization of Russian city images that emerge in the comments of urban community subscribers and posts from administrative press services. The city image is regarded as a frame structure that develops through political and interpersonal communication in the network. The social component of the city image is identified as ...
Added: November 15, 2023
I. K. Kusakin, Fedorets O. V., A. Y. Romanov, Scientific and Technical Information Processing 2023 Vol. 50 No. 3 P. 176–183
This paper discusses modern approaches to natural language processing and the application of machine learning models to the task of classifying short scientific texts in Russian. This study is devoted to the analysis of methods for vectorization of textual information, selection of a model for scientific paper clas- sification, and training of linguistic model BERT ...
Added: November 4, 2023
Sokolova A., Lobanova P., Kuzminov I., Foresight 2024 Vol. 26 No. 1 P. 155–180
Purpose
The purpose of the paper is to present an integrated methodology for identifying trends in a particular subject area based on a combination of advanced text mining and expert methods. The authors aim to test it in an area of clinical psychology and psychotherapy in 2010–2019.
Design/methodology/approach
The authors demonstrate the way of applying text-mining and the ...
Added: October 12, 2023
Malik M. S., Imran T., Mona Mamdouh J., PeerJ Computer Science 2023 Vol. 9 Article e1248
Online propaganda is a mechanism to influence the opinions of social media users. It is a growing menace to public health, democratic institutions, and public society. The present study proposes a propaganda detection framework as a binary classification model based on a news repository. Several feature models are explored to develop a robust model such ...
Added: September 4, 2023
Muhammad Z. Y., Malik M. S., Ignatov D. I., Expert Systems with Applications 2023 Vol. 227 Article 120236
Product defects are a widespread concern for manufacturers when conducting quality and customer relationship management. Prior approaches addressed many electronic products however cell phones are still unexplored. Moreover, prior work mainly focused on the lexicon, probabilistic graphic, failure mode, and effect analysis models but the utilization of word embeddings and language models are not explored. State-of-the-art contextual word embeddings and language models generate automated features and ...
Added: June 13, 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
Ekaterina A. Vlasova, Pavel O. Albitskiy, Aleksandra A. Bogoiavlenskaia et al., / NRU HSE. Series WP BRP "Linguistics". 2021. No. 109.
This study contributes to pedagogically-oriented linguistic research aimed at building academic phrase banks, which lists formulaic expressions and meaningful lexical units aligned with their communicative functions. We explore how deep learning techniques can be applied to pragmatic annotation of academic discourse. The study reports the results of the corpus-based experiment on combining a rule-based annotation ...
Added: December 15, 2021