?
A Multi-Source Big Data Framework for Capturing and Analyzing Customer Feedback
P. 185–190.
Ali N. M., Novikov B.
Big Data refers to the highly growing digital data collections that involve data with different formats, including structured, semi-structured, and unstructured datasets. Analyzing these combinations requires capabilities beyond the traditional database management systems' abilities. Among most sources of big data appears e-markets and social media platforms as significant contributors. This distinction is due to its features that facilitate consumers to express their views or opinions about specific products and services. Customer reviews and ratings become a significant resource for both consumers and firms regarding their plentiful and valuable knowledge. The proposed work introduces a big data framework to analyze such reviews and ratings, starting with data collection from different sources. Followed by integrating the collected data, which comes in different formats, toward the further processing phase. Finally, the analysis and visualization steps to draw the conclusions. Our work was tested on real data collected from active web resources.
Мулина А. А., В кн.: Балканские войны 1912–1913 гг.: далекие предпосылки и долгое эхо.: М.: Институт славяноведения РАН, 2024. С. 287–297.
В данной статье рассматривается вопрос отражения событий 1912–1913 гг. в национальных СМИ Сербии в 2012–2013 и 2022–2023 гг. Опираясь на «большие данные», полученные из сервиса Google, а также на материалы качественной газеты «Политика», автор анализирует особенности освещения эпизодов Балканских войн, а также запросы пользователей интернета на территории Сербии по темам, связанным с событиями 1912–1913 гг. ...
Added: April 21, 2026
Мулина А. А., Якова Т. С., Вестник Российского университета дружбы народов. Серия: Литературоведение, журналистика 2025 Т. 30 № 1 С. 161–171
The article presents the results of a study of the information space of the Balkan states conducted during the presidential elections in Turkey (2023): the authors referred to this period as one of the most striking political events in the country over the past five years. The purpose of the proposed work is to identify ...
Added: April 21, 2026
Balayan A. A., Томин Л. В., Публичная политика 2023 Т. 7 № 1-2 С. 108–117
The paper is devoted to the study of certain aspects of the digitalization of public administration in autocracies, primarily government platforms and digital services. The analysis of the political effects of government platforms and services is carried out in the broader context of the study of new cybernetic mode of governance that complement/transform the disciplinary ...
Added: March 31, 2026
Smirnov A., Мониторинг общественного мнения: Экономические и социальные перемены 2021 № 1 С. 129–153
The article considers a theoretical model of digital society based on four concepts: super-connectivity, platformisation, datafication, and algorithmic governance. The model describes how the digitalisation of society deepens: from the transfer of individual practices and social interactions to a new social order based on big data. Analysis of panel data from the 2003–2018 longitudinal survey ...
Added: March 18, 2026
Smirnov A., Экономика региона 2022 Т. 18 № 1 С. 133–145
The nature and intensity of migration processes are constantly changing. Demographic statistics are not suitable for obtaining up-to-date information and making timely decisions in the field of demographic and social policy. Thus, digital demography is becoming increasingly important, as this area of population research uses new methods and data sources resulting from the Internet expansion ...
Added: March 18, 2026
Kazakov S., Cuesta-Valiño P., Butkovskaya V. et al., Cuadernos de Gestion 2025 Vol. 25 No. 1 P. 71–88
This study provides an in-depth examination of often-overlooked hotel service micro-elements within the broader spectrum of hospitality services, with the aim of improving service delivery and enhancing guest satisfaction. To achieve this, we develop a methodological framework that integrates: (a) VADER text-based sentiment analysis, (b) a robust logistic regression procedure to identify the specific hotel ...
Added: February 28, 2026
Kharlamov A. A., Pilgun M., , in: Special Issue Sensing Technology for Smart Cities: Data, Analytics, and VisualizationsVol. 24. Issue 15.: [б.и.], 2024.
The analysis of large volumes of data collected from heterogeneous sources is increasingly important for the development of megacities, the advancement of smart city technologies, and ensuring a high quality of life for citizens. This study aimed to develop algorithms for analyzing and interpreting social media data to assess citizens’ opinions in real time and ...
Added: February 22, 2026
[б.и.], 2024.
Nowadays a huge portion of population lives in urban areas, and projections indicate that most cities are going to be confronted with a growing urban population in the next few years. This undoubtably poses new challenges that must be addressed by city councils and stakeholders to guarantee citizens’ high quality of life. Mobility, pollution, climate ...
Added: February 15, 2026
Barchukov, V., Relacoes Internacionais no Mundo Atual 2024 Vol. 4 No. 46 P. 113–132
Objective: Despite the opportunities that are opening up due to the development of information support systems and artificial intelligence in law enforcement, unfortunately, the Russian Federation has not yet fully formed a scientifically based legal and organizational framework for their integrated and practical application in activities of law enforcement agencies. The article aims to assess ...
Added: January 20, 2026
Demekhina A., Milshina Y., , in: Artificial Intelligence Enabled Real Time Environmental Monitoring.: Springer, 2026. P. 253–281.
Added: January 13, 2026
Бояров Е. Н., Социальная компетентность 2025 Т. 10 № 2 С. 42–51
The article addresses the problem of integrating new digital technologies into modern education to enhance its effectiveness and quality. The purpose of the study is to summarize theoretical and practical approaches to the use of digital tools in educational environments and to identify key directions and barriers to the digital transformation of education. The research ...
Added: December 9, 2025
Akaev A., Ильин И. В., Korotayev A., Вестник Российской академии наук 2025 № 9 С. 3–15
The article examines the likelihood of creating artificial intelligence (AI) at the human level (“human intelligence level”, AGI) by 2027-2029 and the onset of the era of technological singularity, when a fundamental change in the mechanism of human evolution will occur. It is noted that this probability is close to one, since these dates surprisingly ...
Added: October 28, 2025
Лескина Э. И., Panarina M., Закон 2025 № 9 С. 91–100
The article studies the matter of finding the optimal legal regime for different categories of data. Legal problems related to the turnover of big data arise due to the lack of a unified legal framework for regulating the turnover of big data, a variety of data sources and ways to use them. Based on the ...
Added: October 1, 2025
Krayushkin D. V., Казначеев П. А., Строганова С. М. et al., Геофизические процессы и биосфера 2025 Т. 24 № 3
During laboratory studies of many rock samples, it becomes necessary to develop an appropriate database. Adding new records and maintaining such databases is especially important when creating and updating mathematical and physical models describing hydrocarbon and ore deposits, gas storage facilities, engineering (in particular, transport, hydraulic, pipeline, etc.) structures, the development and operation of which ...
Added: September 21, 2025
Switzerland: Springer, 2025.
This book focuses on the systemic scientific-methodological and practical exploration of organizational-technical and socio-economic issues related to the automation of decision-making in the smart economy under Industry 4.0 using big data and artificial intelligence (AI). The scientific novelty of the results presented in the book lies in uncovering the “black box” of decision-making automation in ...
Added: August 27, 2025
Krayushkin D. V., Казначеев П. А., Белобородов Д. Е. et al., Горный информационно-аналитический бюллетень (научно-технический журнал) 2025 № 4 С. 152–169
Lab-scale rock testing includes processing of a huge variety of information. The increase in the number of tests, measured properties and other related information requires advanced approaches to such data processing and storage in the context of both data model architecture and modern tools of data base control. This study focuses on the current situation ...
Added: May 5, 2025
Pshichenko D., International Journal of Humanities and Natural Sciences 2024 Vol. 8-3(95) P. 180–185
This study explores the application of artificial intelligence (AI) and machine learning (ML) models for big data analysis in project management. By leveraging specific ML algorithms such as decision trees, random forests, support vector machines, neural networks, kmeans clustering, gradient boosting, and natural language processing, project management practices are significantly enhanced. These technologies improve decision-making, ...
Added: March 10, 2025
Кузнецов И. А., Бобунов А. Ю., Бушуев С. А. et al., Конкурентоспособность в глобальном мире: экономика, наука, технологии 2024 № 9 С. 56–61
he article explores modern technologies employed in content recommendation systems (CRS) using Big Data. It examines data processing and analysis methods that significantly enhance the personalization of recommendations to meet individual needs. The advantages associated with the integration of artificial intelligence (AI) and machine learning (ML) into Big Data processing to improve CRS efficiency are ...
Added: March 10, 2025
Panos Pardalos, Valery Kalyagin, Mario R. Guarracino, Computational Management Science 2024 Vol. 21 No. 1 Article 35
Big data has become an integral part of modern networks. With the increasing amount of data generated by devices, machines, and applications, networks are constantly being challenged to handle and process this data in a timely and efficient manner. The size, complexity, and variety of data in networks are increasing rapidly, which requires new approaches ...
Added: February 22, 2025
Мн.: БГУИР, 2024.
The collection contains the results of scientific research and development in the field of BIG DATA
and Advanced Analytics for optimizing IT and business solutions, as well as case studies in
the field of medicine, education and ecology. ...
Added: February 18, 2025
Курск: Курский государственный университет, 2024.
The collection publishes scientific articles based on the materials of the V International Scientific and Technical Conference "Intelligent Information Systems: Theory and Practice". The publication is addressed to students, postgraduates, university professors, candidates and doctors of science, practicing specialists, and anyone interested in the design and development of intelligent information systems, their practical applications, as ...
Added: February 17, 2025
Aleksandr Belov, Zakharov F., Litvinenko E. et al., , in: International IoT, Electronics and Mechatronics Conference, Volume 2. Proceedings of IEMTRONICS 2024. LNEE, volume 1228Vol. 1228.: Springer Publishing Company, 2025. P. 275–287.
Added: January 26, 2025
BOROVKOV A. I., SALKUTSAN S. V., RYABOV Y. A. et al., Materials Physics and Mechanics 2017 Vol. 32 No. 3 P. 328–352
In order to be competitive, modern manufacturers have to offer best-in-class products. Superior quality of the product requires introduction of new materials, digital design methods and advanced manufacturing technologies into production process. Special attention is given to numerical simulation as the most time efficient, flexible and cheap method to evaluate the level of optimality and ...
Added: September 23, 2024
Dneprovskaya N., Шевцова И. В., Вестник Московского университета. Серия 6: Экономика 2024 Т. 59 № 4 С. 114–134
Digital environment includes a huge number of information and telecommunication technologies (IT), while their usage generates common features for them. The goal of the study is to identify the cumulative factor of digital environment and analysis of ways to exploit them into economic activities. The analysis of quantitative indicators of the state of digital environment in Russia and abroad ...
Added: September 6, 2024