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Современные методы интеллектуальной работы с текстовыми данными: замена или дополнение традиционному инструментарию социолога?
Гл. 5.1. С. 310–313.
Aleksandrova M.
Grozovskiy F., Loginova I., Научно-техническая информация. Серия 2: Информационные процессы и системы 2025 № 8 С. 27–36
Предлагается подход к автоматизированному извлечению и структурированию информации из текста, сочетающий веб-скрейпинг для сбора данных из онлайн-источников и большую языковую модель для их последующей интеллектуальной обработки. В качестве объекта исследования выбраны тексты новостных публикаций об уровнях готовности технологий с сайта CNews для апробации разработанной методики в рамках конкретной предметной области. Точность выделения моделью оценок технологической ...
Added: August 11, 2025
Loginova I., Пиекалнитс А. С., Grozovskiy F., Социология: методология, методы, математическое моделирование 2025 № 60 С. 36–88
Цель настоящей статьи заключается в демонстрации подходов по анализу связей центров компетенций с использованием системы интеллектуального анализа больших текстово-документных данных iFORA на примере картирования области «Промышленные информационноуправляющие и телекоммуникационные системы». Результаты исследования включают апробацию реализованных в системе iFORA подходов и методов к задачам, которые традиционно решаются в рамках организационного сетевого анализа. Основной результат проведенного анализа ...
Added: August 6, 2025
Loginova I., Пиекалнитс А. С., Sabidaeva E. et al., Искусственный интеллект и принятие решений 2024 № 4 С. 93–110
Цель настоящей работы - совершенствование и автоматизация языковых моделей извлечения из текстовых документов утверждений, связанных с событиями и факторами, с использованием разработанной системы лингвистических маркеров. В статье приведены результаты апробации тексг-майнинговых моделей извлечения событий и факторов на примере аналитического исследования в сфере человеческого потенциала, социальных и гуманитарных наук. Тестирования и оценка качества моделей реализованы на ...
Added: January 9, 2025
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
Lobanova P., Bakhtin P., Sergienko Y., IEEE Transactions on Engineering Management 2024 No. 71 P. 11898–11906
Identification of science, technology, and innovation trends is a critical topic both for the scientific community and for companies that develop technologies, work on science and technology policy or invest in high tech. In this research authors demonstrate a novel approach implemented in iFORA system (developed by National Research University Higher School of Economics) using ...
Added: September 8, 2023
Kolzdorf M., Закон 2021 № 5 С. 142–164
Автором рассматриваются вопросы, связанные с обработкой Больших данных (Big Data), включающих объекты авторских и смежных прав. В частности, раскрыты основные этапы их обработки с применением технологии интеллектуального анализа текстов и данных (text and data mining), приведены примеры использования результатов такой обработки; исследовано, осуществляется ли использование объектов авторских и смежных прав при обработке Больших данных и ...
Added: September 9, 2021
Aleksandrova M., В кн.: Социология и общество: традиции и инновации в социальном развитии регионов: Сборник докладов VI Всероссийского социологического конгресса (Тюмень, 14-16 октября 2020 г.).: М.: ФНИСЦ РАН, 2020. С. 4846–4849.
Missing data represent an urgent problem in sociological research. One of the sources of the missing data is an item nonresponse, which can be related to the respondent’s reluctance to answer the question, difficulties that occur during the answering process, or other reasons. The reason for the nonresponse is seen in the method of conducting ...
Added: September 3, 2021
Aleksandrova M., ИНТЕРакция. ИНТЕРвью. ИНТЕРпретация 2021 Т. 13 № 2 С. 81–96
Text mining has developed rapidly in recent years. In this article, we compare classification methods that are suitable for solving problems of predicting item nonresponse. The author builds reasoning about how the analysis of textual data can be implemented in a wider research field based on this material. The author considers a number of metrics ...
Added: August 20, 2021
Kuzminov I., Lobanova P., Региональные исследования 2021 № 1 (71) С. 18–33
The authors show the need and some existing opportunities for analysis of non-traditional data sources to obtain a complete and more relevant picture of industries spatial development. The research methodology includes the use of text mining for economic and geographical studies. The relevance of the research is determined by insufficient completeness of official statistical data, ...
Added: June 4, 2021
Aleksandrova M., Мониторинг общественного мнения: Экономические и социальные перемены 2021 № 1 С. 329–350
Various reasons may cause missing data in social research. The article highlights the non-response errors caused by ignorance, the lack of desire, or difficulty searching for answers to specific questionnaire questions. Predicting item nonresponse, which would help reduce missing data, poses particular concerns. Based on the data from the European Social Survey (UK respondents) this article shows how text mining and machine learning ...
Added: April 19, 2021
Saritas O., Bakhtin P. D., Kuzminov I. et al., Scientometrics 2021 Vol. 126 P. 1553–1579
Identifying and monitoring business and technological trends are crucial for innovation and competitiveness of businesses. Exponential growth of data across the world is invaluable for identifying emerging and evolving trends. On the other hand, the vast amount of data leads to information overload and can no longer be adequately processed without the use of automated ...
Added: March 24, 2021
Shakina E., Molodchik M., Parshakov P., Russian Management Journal 2020 Vol. 18 No. 3 P. 433–456
The study offers a structural literature review on the twenty years the evolution of the fast-growing research topic of intellectual capital (IC) and intangible-driven performance. Despite a rather short independent history, the IC concept has undergone a substantial transformation, bringing to the discussion vast empirical and methodological literature. Several endeavors carrying out literature review studies ...
Added: January 13, 2021
Zhuchkova S., Rotmistrov A., Социология: методология, методы, математическое моделирование 2020 № 50-51 С. 141–183
The paper is devoted to the procedures of automatic data extraction from web pages, i.e., web scraping of web data. We consider different types of web data such as digital traces and other numeric and text web data as well as its advantages (the speed of data collection and, as a consequence, the continuous coverage, ...
Added: June 18, 2020
Kuzminov I., Bakhtin P. D., Timofeev A. et al., Искусственный интеллект и принятие решений 2020 № 1 С. 3–16
The article is devoted to a review of the latest natural language processing (NLP) technologies that can be applied in strategic analytics. The introduction discusses the main problems in this area and specific tasks that can be solved using NLP tools. The article provides an overview of the main application areas in which these tools ...
Added: May 6, 2020
Gokhberg L., Kuzminov I., Khabirova E. et al., Futures 2020 Vol. 115 No. article 102476 P. 1–12
The world economy relies on access to industrial metals, oil and gas for maintaining its
critical industrial infrastructure. Although demand is likely to remain high, the most
accessible deposits have been depleted. Future capacity growth will be facilitated
through further technological developments. Therefore, Russia as a leading producer,
is paying great attention to strengthening its competitive edge in global ...
Added: October 21, 2019
Bakhtin P. D., Khabirova E., Kuzminov I. et al., Technology Analysis & Strategic Management 2020 Vol. 32 No. 5 P. 516–528
The system of food production is facing grand challenges, such as a rising population, climate change, degrading bio-productivity of agricultural land and over-fishing. Agriculture and food production are becoming more innovative and implement new infrastructure, IT-platforms or biotechnologies, like gene editing or synthetic food production. A more advanced knowledge base about food innovations helps customers ...
Added: October 16, 2019
Ростов н/Д: Ростовский государственный экономический университет "РИНХ", 2018.
The conference proceedings present the results of research of young scientists of the leading scientific organizations of Russia on a wide range of topical problems of Informatics, management and system analysis. Interdisciplinary research and intensive use of data are key features of modern science. The IMSA-2018 conference (Informatics, Management and Systems Analysis) aims to establish ...
Added: September 3, 2019
Kuzminov I., Bakhtin P. D., Neznanov A. et al., В кн.: Управление научными исследованиями и разработками. Государство и наука: новые модели управления – 2018. Труды Четвертой научно-практической конференции (26 ноября 2018 г., Москва).: ИПУ РАН, 2019. С. 128–137.
Цель данной работы – выработка нового эффективного подхода к выявлению,
оценке и анализу центров компетенций, комбинирующего как традиционные методы,
основанные на экспертном анализе, библиометрии, патентном анализе и иных подобных
инструментах, так и на анализе больших данных, семантическом анализе и текстмайнинге. Актуальность работы связана с тем, что существующие на данный момент
подходы и методическая инструментальная база для выявления и анализа ...
Added: August 29, 2019
Kuzminov I., Loginova I., Lobanova P., Сахарная свекла 2018 № 9 С. 2–7
The rapidly increasing heterogeneous information volumes make it acute to generalize large amounts of data in order to be able to make strategically proper decisions. Information flows aggregation using traditional analytical tools is becoming difficult. As a result, a lot of new automated data analysis applications, including text-mining tools, are developing. The system of intellectual ...
Added: October 29, 2018
Kuzminov I., Loginova I., Khabirova E., / NRU Higher School of Economics. Series WP BRP "Science, Technology and Innovation". 2018. No. 88.
This paper defines a stress scenario as a global or national business development leading to the scrapping of established trends as a result of one or several technological breakthroughs, which can combine with a number of events and factors unfavorable for the global or national economy. The paper presents an analysis of technological shifts in ...
Added: October 3, 2018
Kuzminov I., Bakhtin P. D., Khabirova E. et al., / NRU Higher School of Economics. Series WP BRP "Science, Technology and Innovation". 2018. No. 82.
This paper contributes to the conceptualisation and operationalisation of the “technology trend” discussion in the scope of the Technology Foresight paradigm. It proposes a consistent logical approach to analysing technology trends and increase predictive potential of futures studies. The approach integrates Big Data analysis into the Foresight studies’ toolset by means of applying text mining, ...
Added: October 3, 2018
Kuzminov I., Meissner D., Lavrynenko A. S. et al., / NRU Higher School of Economics. Series WP BRP "Science, Technology and Innovation". 2018. No. 78/STI/2018.
The paper analyses problems associated with technologies classification for the purposes of futures studies, in order to ensure definitive inclusion of technologies in specific classes/types when conventional approaches to classification are applied. The evolution of classification approaches in the scope of science philosophy is shortly reviewed, together with the latest research on expert-based and computerised ...
Added: January 22, 2018