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Sentiment Analysis Using Deep Learning
P. 281–288.
Karpov N., Ляшук А. Ю., Vizgunov A. N.
The study was aimed to analyze advantages of the Deep Learning methods over other baseline machine learning methods using sentiment analysis task in Twitter. All the techniques were evaluated using a set of English tweets with classification on a five-point ordinal scale provided by SemEval-2017 organizers. For the implementation, we used two open source Python libraries. The results and conclusions of the study are discussed.
Publication based on the results of:
In book
Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev, Irina Utkina Vol. 247. , Springer, 2018.
Rosete A., Sosa Gómez G., Rojas O., Computers 2025 Vol. 14 No. 5 Article 162
Added: September 18, 2026
Petrov I., Monitoring Obshchestvennogo Mneniya: Ekonomichekie i Sotsial'nye Peremeny 2026 No. 4 P. 50–71
This study aims to compare the emotional and thematic differences in pro-vaccination and anti-vaccination discourse on the Russian social network VKontakte (VK), using Language Expectancy Theory (LET) as an interpretive lens. A computational approach was applied to analyze 18,239 posts from 229 anti-vaccination and 84 pro-vaccination communities, utilizing dictionary-based sentiment analysis and structural topic modeling. ...
Added: April 29, 2026
Кореневский В. В., Journal of Applied Economic Research 2026 Т. 25 № 3 С. 853–878
U.S. presidential elections represent a key source of political uncertainty that influences financial market dynamics and investor expectations. However, the impact of presidential elections and related news on cryptocurrency price movements remains underexplored, despite the emergence of select empirical studies on this topic. This study aims to assess the relationship between returns and volatility of ...
Added: April 28, 2026
Kirina M., Лукьянчикова А. С., В кн.: Язык в эпоху цифровых трансформаций и развития искусственного интеллекта : Сборник научных статей по итогам II Международной научной конференции Минск, 23–24 октября 2025 г.: Мн.: БГУИЯ, 2025. С. 74–85.
В статье рассматриваются характерные особенности гороскопических текстов как части астрологического дискурса. Материалом исследования выступает представительная выборка ежедневных предсказаний на русском языке, опубликованных в открытых группах социальной сети «ВКонтакте», суммарным объемом 1185425 словоупотреблений. С использованием методов корпусной и компьютерной лингвистики анализируются содержательные лексические единицы – как общие, так и отличительные для каждого знака зодиака (в сопоставлении ...
Added: February 28, 2026
Anisimova K., Цифровые гуманитарные исследования 2025 № 2 С. 24–47
Исследование посвящено описанию эмоциональной динамики как проявления художественной структуры русской драмы XVIII–XX вв. на основе автоматической разметки тональности реплик с использованием нейросетевых моделей BERT-архитектуры. Такие модели, дообученные даже на нехудожественных текстах, показывают удовлетворительные результаты при анализе тональности драматических реплик, что было проверено на вручную размеченной тестовой выборке. На основе такой автоматической эмоциональной разметки было показано, ...
Added: February 24, 2026
Bocharova A., Денисов И. Е., Зуенко И. Ю., Вестник Санкт-Петербургского университета. Востоковедение и африканистика 2025 Т. 17 № 2 С. 366–377
The article focuses on analyzing the perceptions of recent changes in China’s demographic pol-icy by the contemporary Chinese society. These changes involved the relaxation of restrictions on the number of children in a family, first to two children in 2015 and subsequently to three children in 2021. The relevance of this research stems from the ...
Added: February 19, 2026
Balakina Y. V., Yin Z., Известия Саратовского университета. Новая серия. Серия: Филология. Журналистика 2025 Vol. 25 No. 2 P. 229–236
The aim of the present study is to trace changes in the construction of the image of China in the British media during two crisis periods: the COVID-19 pandemic and the Russian military operation. Each period encompasses a panic (escalation) phase and a recovery (stagnation) phase. Using data from the Factiva database, 70,356 articles published ...
Added: January 20, 2026
Smolyanina E., Morozova I., Харитонова Н. В., Географический вестник 2025 № 4 (75) С. 162–177
The unique tourist experience is one of the main components of tourism activity. However, it is not studied in Russian and Western science. This determined the purpose of the study, that is to identify the characteristics of unique American tourists’ experiences in online reviews about the Lincoln Memorial on the travel site TripAdvisor in the ...
Added: January 7, 2026
Makeeva N., Наволоцкая П. А., Iskyandyarov R. et al., Вопросы экономики 2026 № 6 С. 135–154
This paper analyzes the informational value and predictive power of retail investor sentiment, formed by news flows and social media publications, for the dynamics of the Russian stock market. The aim of the study is to assess the informational value and predictive power of sentiment indicators, calculated using the FinBERT model, for key stock market ...
Added: December 2, 2025
Shulginov V., Жанры речи 2025 Т. 20 № 3(47) С. 327–336
The article examines the imperative internet comment as a special genre of conflict internet discourse.
The research was based on the study of two communities of the social network “VKontakte”, differing in the
structure of social connections: vertical type (official community “VKontakte with authors”) and horizontal
type (“Showbiz stars news”). Using automatic methods of data collection and analysis, ...
Added: October 12, 2025
Sharikov A., , in: Internet in the Post-Soviet Area: Technological, Economic and Political Aspects.: Cham: Springer, 2023. Ch. 1 P. 7–46.
The chapter contains results of a study of the representation of 19 post-Soviet countries and territories on the global Internet in 2020–2021. It was carried out with the help of the FACTIVA monitoring database (information texts, over 23000 online resources from more than 100 countries in 26 languages). It turned out that in 2020–2021 only ...
Added: February 6, 2025
Sharikov A., Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика 2024 Т. 29 № 3 С. 534–550
The article examines peculiarities of representation of russia in British online sources in 2022, when russia launched a special military operation in ukraine. the author used a statistical approach to analysis based on the factiva monitoring system, the database of which contains about 4.5 million texts published on 416 British online resources from January 1 ...
Added: February 5, 2025
Sharikov A., Потапова В. В., Вестник Академии медиаиндустрии 2023 Т. 34 № 2 С. 48–64
The article presents the results of a study conducted at the Higher School of Economics (HSE) on the corpus of texts of the monitoring system Factiva, published in 2020. The purpose of the study is to identify the quantitative relationship between positive and negative tone publications on Russian-language online resources in comparison with publications of ...
Added: February 5, 2025
Anna Moskvina, Margarita Kirina, , in: 27th International Conference, IMS 2024, St. Petersburg, Russia, June 24–26, 2024, Selected Papers. Internet and Modern Society. Human-Computer Communication. CCIS, volume 2534Vol. 2534.: Springer, 2025. P. 113–129.
The paper presents an investigation of the emotional aspect of the Russian short story of the 20th century. Our study is two-fold: firstly, we delve into emotional representation at the lexical level, building upon previous work on utilizing vector models to quantify emotional content. In this study, we introduce an annotated corpus where words are ...
Added: November 29, 2024
Chistikov M., Полис. Политические исследования 2024 № 4 С. 38–55
The relations between Russia and Norway are of a contradictory nature, containing both positive and negative elements. In the scientific literature, the systemic factors affecting Russian-Norwegian relations are well studied, while the internal political reasons for the transformation of bilateral relations are insufficiently explored. In 2013, i.e. before the international political crisis of 2014, a ...
Added: August 2, 2024
Smolyanina E., Morozova I., Kharitonova N., Географический вестник 2024 No. 2(69) P. 150–164
Detailed experiences of travelers are presented in online tourist reviews that affect the way other tourists perceive and plan their trips. Such reviews are sources of information in the form of open writing that allows reliable sharing of experience about tourist attractions. Previous studies have made use of tourist reviews to obtain lists of the ...
Added: July 18, 2024
Bosonogov S., Suvorova A., Journal of Mathematical Sciences 2024 Vol. 285 P. 1–13
In this work we analyze comments on three subreddits related to AI-generated art to understand how people perceive the ability of AI to create art and the topics and moods of discussions in the context of widespread usage of pre-trained models. We used computational text analysis techniques such as LDA topic modeling and sentiment analysis ...
Added: February 4, 2024