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Dynamic Semantic Network Analysis of Unstructured Text Corpora
P. 392–403.
The natural language structure can be viewed as weighted semantic network. Such representation gives an option to investigate the text corpus as the model of the subject domain. In this paper we propose the mechanism of the semantic network identification and construction. We apply the methodological instrument for the social media text analysis and trace the dynamics of the discussions about 1917 year within the internet communities. Network changes illustrate the changes of the interest to different topics. The proposed mechanism can be used for the monitoring of the different social processes and phenomenal in online social networks and media.
Keywords: text mining
Publication based on the results of:
In book
Vol. 10716. , Cham: Springer, 2018.
I. V. Loginova, A. S. Piekalnits, E. A. Sabidaeva et al., Scientific and Technical Information Processing 2025 Vol. 52 No. 6 P. 738–751
The purpose of this paper is to advance and automate language models for extracting statements related to events and factors from text documents using the designed linguistic marker system. The paper presents the outcomes of text-mining models of events and factors extraction approbation on the example of analytical research in human potential, social sciences and ...
Added: July 18, 2025
Penskaja E., Khachaturyan L., Филологические науки. Научные доклады высшей школы 2023 № 5 С. 160–165
The article examines the current trends in workingwith digital forms of handwritten heritage on the history of Russian literature of the second half of the 19 — mid-20 century. The process of forming virtual archives is analyzed as a gradual accumulation of the “big date” of scientific research — an unrecognized information array of raster ...
Added: October 30, 2023
Kuzminov I., Bakhtin P. D., Timofeev A. et al., Scientific and Technical Information Processing 2021 Vol. 48 No. 6 P. 467–475
This paper provides an overview of the latest natural language processing (NLP) technologies that can be applied in strategic analytics. The main problems in this field and specific tasks that can be solved using NLP tools are investigated. The main areas of application of these tools are considered. Recent advancements in NLP are discussed and ...
Added: March 23, 2022
Serova E., Fainshtein E., Вестник Санкт-Петербургского университета. Серия 8. Менеджмент 2022 Т. 21 № 1 С. 48–75
The purpose of the paper is to study value proposition factors in online customer reviews that
characterize consumer inquiries in the catering industry by using text-mining techniques. Research
design focuses on the analysis of chain restaurants, which focuses on the usefulness of the
service indicated in a quantitative system of scores, and pleasure factors for customers. Empirical
data from ...
Added: February 17, 2022
Ternikov A., PeerJ Computer Science 2022 Vol. 8 Article e946
Labor market transformations significantly affect the sphere of information technologies (IT) introducing new instruments, architectures, and frameworks. Employers operate with new knowledge domains which demand specific competencies from workers including combinations of both technical ("hard") and non-technical ("soft") skills. The educational system is now required to provide the alumni with up-to-date skill sets covering the ...
Added: February 1, 2022
Kuzminov I., Lobanova P., Regional Research of Russia 2021 Vol. 11 No. 4 P. 477–489
The article considers the place and role of the pulp and paper industry as a key branch of the domestic timber industry complex in the economic and spatial development of modern Russia. It is shown that the sector requires liberalization and stabilization, primarily through moratoriums on policy changes. The need and some existing possibilities for ...
Added: December 27, 2021
Ozcan S., Sakar O., Suloglu M., IEEE Transactions on Engineering Management 2021 Vol. 68 No. 5 P. 1372–1387
The amount of job advertisement data is rapidly growing, and this rich dataset is expected to have implications for the employment market, sector trajectories, and the education sector. Most significantly, human resources (HR) data has never previously been examined with the lens of tech mining for science and technology analyses. This article is the first ...
Added: December 12, 2021
Daim T., Bukhari E., Bakry D. et al., Foresight and STI Governance 2021 Vol. 15 No. 2 P. 12–24
Identifying technology trends can be a key success factor for companies to be competitive and take advantage of technological trends before they occur. The companies always work to plan for future products and services. For that, it is important to turn to methods that are used for technology forecasting. These tools help the companies to ...
Added: December 12, 2021
Ozcan S., Suloglu M., Sakar C. O. et al., Technovation 2021 Vol. 107 No. September 2021 P. 1–12
The availability of social media-based data creates opportunities to obtain information about consumers, trends, companies and technologies using text mining techniques. However, the quality of the data is a significant concern for social media-based analyses. The aim of this study was to mine tweets (microblogs) to explore trends and retrieve ideas for various purposes such ...
Added: December 12, 2021
Fainshtein E., , in: XIV International Scientific Conference “INTERAGROMASH 2021"Vol. 1: Precision Agriculture and Agricultural Machinery Industry.: Springer, 2021. P. 475–483.
Due to the e-commerce rapid development during the COVID pandemic, the demand for logistics and its importance is increasing. A satisfied customer can drive e-commerce business forward. As logistical needs become more complex and logistics market becomes more competitive, service companies must strive to continually improve their value proposition to maintain their competitive edge. This ...
Added: November 1, 2021
Serova E., Fainshtein E., В кн.: Четвертая международная конференция «Управление бизнесом в цифровой экономике»: сборник тезисов выступлений, СанктПетербург.: СПб.: ИПЦ СПбГУПТД, 2021.
The article is devoted to the use of new digital technologies in the provision of services to the Russian restaurant business. Based on text mining methods, the most complete list of value proposition factors in online customer reviews, typical of consumer inquiries in the field of restaurant services, has been identified. Correlation analysis of rating ...
Added: October 31, 2021
Vorobeva M., Cultural Trends 2021
The ability of independent art spaces to create new practices in the arts is recognised, alongside with their influence on the socio-economic development of places in which they appear. Yet, art spaces remain poorly understood, as present studies look only at individual examples of these places. In this paper, using text mining methods, 1537 descriptions ...
Added: October 29, 2021
Galitsky B., Ilvovsky D., Goncharova E., , in: Artificial Intelligence. RCAI 2021. Lecture Notes in Computer ScienceVol. 12948.: Springer, 2021. P. 215–231.
Added: October 28, 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
Fainshtein E., Serova E., , in: Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry.: IGI Global, 2021. Ch. 10 P. 223–240.
Added: July 24, 2021
Gokhberg L., Kuzminov I., Khabirova E., , in: Bio#Futures. Foreseeing and Exploring the Bioeconomy.: Cham: Springer, 2021. Ch. 10 P. 203–227.
This chapter presents the overview of global challenges and trends, as well as technological landscape and future prospects for science, technology and innovation (STI) in agriculture and food sector. Our study is based on a systemic mapping of trends and technologies with the combination of big data analysis (text mining) and expert-based methods. The focus ...
Added: May 17, 2021
Tekic Z., Drazic M., Kukolj D. et al., Tehnicki Vjesnik 2015 Vol. 22 No. 6 P. 1433–1440
Patent document is a valuable source of information. However, it is neither easy to extract useful information from patents nor simple to track evidence about all patents that may be relevant. This paper describes PSALM (Patent Search and Analysis for Landscaping and Management), a recently developed software tool for competitive intelligence based on patent data. ...
Added: April 25, 2021
Sokolov D., Selivanovskikh L., Zavyalova E. et al., Russian Management Journal 2018 Vol. 16 No. 4 P. 499–512
In this study we analyze topics and sentiments of online job reviews for 989 organizations operating across 12 different knowledge-intensive industries in Russia. Using text mining techniques, such as topic modeling and sentiment analysis, we identify factors of job satisfaction and examine how they differ for former and current employees of Russian organization. The analysis ...
Added: January 26, 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
Бойченко А. Е., Zhuchkova S., Журнал социологии и социальной антропологии 2020 Т. 23 № 2 С. 130–165
Th e study presents an attempt of the complex exploratory analysis of Russian rap based on the corpus of texts of the Russian-language songs of this genre. Th e corpus contains more than 11,000 texts that vary in their date of creation and popularity by more than 500 artists collected by automatically extracting data from web ...
Added: August 12, 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