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Conceptual maps: construction over a text collection and analysis
P. 163–169.
A method for conceptual maps construction is presented and applied to three different domains. A conceptual map is graph, where nodes stand for domain specific concepts and edges connect associated concepts. The conceptual map reveals and visualizes the logical asso- ciations between concepts, which exist in the collection of texts, used to construct the conceptual map. Preliminary work on conceptual map analysis is suggested.
In book
Vol. 439. , Berlin: Springer, 2014.
Tyuryakova-Matveeva D., Цифровые гуманитарные исследования 2026 № 1 С. 4–26
The article explores cultural references in the works of Andrei Voznesensky by analyzing the personalities he mentions. A total of 1,678 works were processed, including poetry, prose, and early unpublished poems. NER methods based on Natasha, spaCy, and LLM Grok tools made it possible to study the frequency of mentions of famous people and their ...
Added: May 31, 2026
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
Чудинова О. С., Первицкая Л. А., Ramenskaya A., 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
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
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
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
Ali N., Alshahrani A., Alghamdi A. et al., Applied Sciences (Switzerland) 2022 Vol. 12 No. 17 Article 8823
Online customers’ opinions represent a significant resource for both customers and enterprises to extract much information that helps them make the right decision. Finding relevant data while searching the internet is a big challenge for web users, known as the “Problem of Information Overload”. Recommender systems have been recognized as a promising way of solving ...
Added: October 4, 2022
Shirokanova A., Silyutina O., , in: Digital Transformation and Global Society. 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021, Revised Selected Papers.: Springer, 2022. P. 19–35.
Added: January 27, 2022
Fedorova E., Khrustova L., Демин И. С., AlterEconomics (ранее - Журнал экономической теории) 2020 Т. 17 № 2 С. 412–423
The non-financial information is defined as a significant determinant of the company’s activity in terms of many modern theories. The evolution of the company’s investment attractiveness evaluating theory has led to the conclusion that the determining factors include other non-financial characteristics of the company, such as management structure, degree of social and environmental responsibility and ...
Added: October 23, 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
Mirkin B., Frolov D., Vlasov A. et al., , in: Intelligent Data Engineering and Automated Learning – IDEAL 2020/ 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part IIVol. 12490: Lecture Notes in Computer Science.: Cham: Springer, 2020. P. 423–433.
We define and find a most specific generalization of a fuzzy set of topics assigned to leaves of the rooted tree of a taxonomy. This generalization lifts the set to a “head subject” in the higher ranks of the taxonomy, that is supposed to “tightly” cover the query set, possibly bringing in some errors, both ...
Added: November 13, 2020
Kochetkova N. A., Pronoza E., Yagunova E., , in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10th International Conference on Social Informatics, SocInfo 2018; St.Petersburg.: Springer, 2018. P. 139–147.
In this paper we analyze news text collections (clusters) via extracting their paraphrase headlines into a paraphrase graph and working with this graph. Our aim is to test whether news headline is an appropriate form of news text compression. Different types of news collections: dynamic, static and combined (both dynamic and static) clusters are analyzed ...
Added: October 30, 2020
Khrustova L., Федоров Ф. Ю., Fedorova E., Контуры глобальных трансформаций: политика, экономика, право 2020 Т. 13 № 4 С. 292–310
Обострение политической обстановки, которая свойственна текущей стадии развития международных отношений, сопровождается масштабной информационной войной. Проблема освещения положения России в международной прессе с негативной точки зрения обсуждается с начала 2000-х годов. Российско-украинский конфликт, который начался в конце 2013 - начале 2014 годов, заставил иностранные средства массовой информации вновь обратить внимание на Россию и спровоцировал увеличение количества ...
Added: October 29, 2020
Mirkin B., Frolov D., Vlasov A. et al., , in: WIMS 2020: Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics.: Association for Computing Machinery (ACM), 2020. P. 184–189.
We define and find a most specific generalization of a fuzzy set of topics assigned to leaves of the rooted tree of a taxonomy. This generalization lifts the set to a “head subject” in the higher ranks of the taxonomy, that is supposed to “tightly” cover the query set, possibly bringing in some errors, both ...
Added: August 28, 2020
Khrustova L., Fedorova E., Демин И. С., Российский журнал менеджмента 2020 Т. 18 № 1 С. 51–72
In the context of the development of the digital economy, the role of a company’s information transparency has become increasingly important. Alongside purely financial information, investors are more likely to also take into account the disclosure of non-financial information in the annual accounts. The purpose of this study is to empirically examine the relationship between ...
Added: August 20, 2020
Kharlamov A. A., Pantiukhin D., Gordeev D., , in: Neuroinformatics and Semantic Representations: Theory and Applications.: Cambridge Scholars Publishing, 2020. Ch. 4 P. 55–113.
Abstract. Over the past decade, a new wave of interest in dialogue agents has been observed. This is largely due to the introduction of machine learning in the tasks of automatic natural language processing. Using the tools of distributional and network semantics makes it possible to summarize data from huge corpora of texts. New language ...
Added: June 22, 2020
Frolov D., Mirkin B., Nascimento S. et al., , in: Intelligent Data Engineering and Automated Learning – IDEAL 2019Vol. 2.: Springer, 2019. P. 3–11.
We define a most specific generalization of a fuzzy set of
topics assigned to leaves of the rooted tree of a domain taxonomy. This
generalization lifts the set to its “head subject” node in the higher ranks
of the taxonomy tree. The head subject is supposed to “tightly” cover
the query set, possibly bringing in some errors referred to ...
Added: December 7, 2019
Springer, 2019.
We define a most specific generalization of a fuzzy set of
topics assigned to leaves of the rooted tree of a domain taxonomy. This
generalization lifts the set to its “head subject” node in the higher ranks
of the taxonomy tree. The head subject is supposed to “tightly” cover
the query set, possibly bringing in some errors referred to ...
Added: December 7, 2019