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Success Factors of Electronic Petitions at Russian Public Initiative Project: The Role of Informativeness, Topic and Lexical Information
P. 243–250.
Porshnev A.
Online petitions are usually regarded as one of the most popular channels to involve citizens in the political process. In our paper we have analyzed texts and voting data (pro and against) from 9705 e-petitions submitted from 2013 until 2017 at Russian Public Initiative project. Analysis of dynamics showed stabilization of interest to this resource (emergence of a new authors, growth of “strong” petitions etc.). Studying success factors of electronic petitions at the Russian public initiative project we found out that the topic and lexical information are significant factors, as well as the level of petitions.
Ankudinov I., Социология: методология, методы, математическое моделирование 2025 № 61 С. 165–203
The changing political mood of Russians is a constant subject of interest for sociological agencies. With the development of the Internet, conventional questionnaire research began to be supplemented by online surveys and, despite some skepticism, by social media mining. This article attempts to adjust an accidental web-sample so as to bring its estimates closer to ...
Added: April 22, 2026
Ramenskaya A., Чудинова О. С., Первицкая Л. А., Индустриальная экономика 2026 № 1 С. 65–78
This article is devoted to the development of an algorithm for analyzing news information using machine learning methods implemented in Python libraries. The choice of tools used at each stage of the algorithm is justified by calculating metrics for the quality of the solution to the corresponding machine learning problems. The algorithm’s results are presented ...
Added: April 20, 2026
Khrylchenko K., Vorontsov K. V., Automation and Remote Control 2022 Vol. 83 No. 12 P. 1908–1922
Added: November 19, 2025
Lifshits A., Slovĕne 2025 Т. 14 № 1 С. 300–312
The article considers those episodes from the notes of Afanasy Nikitin that allow us to doubt his merchant status. Based on the analysis of grammar, vocabulary and pragmatics of Afanasy’s messages, it is concluded that he traveled along the Volga and further as the head of a small community of people and that he differed ...
Added: September 3, 2025
Sikachev A., Veselova A., Управленец 2026 Vol. 17 No. 1 P. 65–83
As small and medium-sized enterprises (SMEs) strive for expansion beyond their domestic borders, the appeal of international markets is undoubtedly attractive. However, there are often numerous obstacles to this journey, which can be complex for companies without experience in international expansion. This article aims to fill the existing gap in the literature by thoroughly analyzing ...
Added: August 21, 2025
Smirnov N., Higher Education 2026 Vol. 91 No. 3 P. 993–1021
Doctoral education has undergone significant transformations over the past two decades, driven by massification, internationalization, and the diversification of training models. These shifts have led to a growing body of research on doctoral education, yet little is known about the overarching thematic and geographical trends shaping this field. This study applies computational natural language processing ...
Added: May 26, 2025
Volkova N., Бордунос А. К., Чикер В. А. et al., Социальная психология и общество 2025 Т. 16 № 1 С. 5–27
Objective. Identify key topics presented in contemporary research on the relationship between social capital and generational differences in organizations, utilizing digital processing approaches on a dataset of scientific publications.
Background. The emergence of new technologies, labor migration, and the involvement of representatives of different generations in labor activities have highlighted the process of continuous socialization of individuals in ...
Added: May 5, 2025
Егоров В. Ю., Philippov I., Akhremenko A. S., Мониторинг общественного мнения: Экономические и социальные перемены 2025 № 1 С. 214–239
The focus of the work is related to the public perception of government practices within the framework of digitalization policy. Electronic practices of interaction with the government have long been widespread among most Russians. This is confirmed by both public opinion polls and Russia’s high positions in the world rankings of e-government development. In this ...
Added: May 1, 2025
Vozhik E., Maslinsky K., Lisiukov R., CEUR Workshop Proceedings 2024 P. 938–949
The article focuses on the systemic effects of censorship that manifest themselves in the content of published materials that successfully passed the censorship filters. We understand censorship as a special kind of collective imagination about the (in)acceptable, inherent in a particular political context and influencing the decision-making logic by different actors. The idea is that ...
Added: April 3, 2025
Gorshkov S., Ilyushin E., Chernysheva A. et al., International Journal of Open Information Technologies 2021 Vol. 9 No. 5 P. 12–17
Topic modeling is one of the most widely used methods in text analysis. It can be used to select topics as well as to find the topics distributed in each document from the corpus. In this article, we present a method for clustering communities in the social network VKontakte (the most popular Russian social network) ...
Added: December 25, 2024
Kolmogorova A., Qiuhua S., Вестник Волгоградского государственного университета. Серия 2: Языкознание 2024 Vol. 23 No. 5 P. 60–71
The article is devoted to studying verbalization specifics of various emotional states in the texts in Russian with the purpose to confirm or refute the hypothesis that texts of different emotional classes reflect the denotative situation not identically, which is reflected in thematic specifics and lexical content. The research material consisted of eight corpus texts ...
Added: November 29, 2024
Kharlamov Alexander, Eugeny S., Kuznetsov D. et al., Problems of Artificial Intelligence 2023 No. 3(30) P. 4–27
Text as an image is analyzed in the human visual analyzer. In this case, the image is scanned along the points of the greatest informativity, which are the inflections of the contours of the equitextural areas, into which the image is roughly divided. In the case of text analysis, individual characters of the alphabet are ...
Added: October 20, 2024
A. V. Mylnikova, V. A. Trusov, L. A. Mylnikov, Automatic Documentation and Mathematical Linguistics 2023 Vol. 57 No. 5 P. 301–307
This paper considers the problem of the generation of descriptors to reduce data volumes, text data resources, and search times through the use of the new factors of authorship, region, emotive meaning, and popularity, as well as a text category without special marks that can be used to generate descriptors. This approach allows the use ...
Added: February 29, 2024
Sergei Koltcov, Surkov A., Filippov V. et al., PeerJ Computer Science 2024 Vol. 10 P. 41
Topic modeling is a widely used instrument for the analysis of large text collections.
In the last few years, neural topic models and models with word embeddings have
been proposed to increase the quality of topic solutions. However, these models
were not extensively tested in terms of stability and interpretability. Moreover, the
question of selecting the number of topics ...
Added: February 16, 2024
Zhuchkova S., Бойченко А. Е., Smirnov N., Журнал социологии и социальной антропологии 2024 Т. 27 № 1 С. 103–138
In public and academic debate, rap is often presented as one of the most aggressive music genres, depicting violence and cruelty in various ways. One of the reasons for that is rap’s social background. It emerged in the criminal area of New York first created by the deprived Black population. Using the notion of hegemonic ...
Added: February 11, 2024
Kolmogorova A., Колмогорова П. А., Куликова Е. Р., Вестник Томского государственного университета. Филология 2024 № 89 С. 73–103
In this article, we focus on the analysis of the texts of three history textbooks for university students published at different times: in 1946, in 1983 and in 2006. As a material, we use texts devoted in each of the textbooks to seven historical topics since the beginnings of Kiev principality till the Reforms of ...
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
Vashchenko V., Социология: методология, методы, математическое моделирование 2023 № 56 С. 69–112
The steady increase in the popularity of social media as a means of communication actualizes methodological issues related to processing of short texts with less semantic context than large corpora, which are widely used for training and testing machine learning models for textual data. Topic modeling, an unsupervised machine learning technique aimed at aggregating texts ...
Added: December 7, 2023