Informatika i Ee Primeneniya [Informatics and its Applications]
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Informatika i Ee Primeneniya [Informatics and its Applications], 2022, Volume 16, Issue 2, Pages 60–67
DOI: https://doi.org/10.14357/19922264220208
(Mi ia787)
 

This article is cited in 2 scientific papers (total in 2 papers)

Medium models for discovering novel terms and sentiments from texts

I. M. Zatsmana, O. V. Zolotarevb, A. K. Khakimovab

a Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
b Russian New University, 22 Radio Str., Moscow 105005, Russian Federation
Full-text PDF (604 kB) Citations (2)
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Abstract: The models of informatics (= computer and information science), called medium models, are considered. They are created according to the paradigm of dividing the subject domain of informatics into media of different nature, for example, mental, information, and digital ones. The principal idea of creating medium models is the usage of three or more media, the boundaries between them, as well as the distribution of information technology (IT) stages by media and boundaries during IT modeling. Two medium models are compared which are focused on the design of IT and computerised systems that provide the discovery of sentiments and new terms through human–computer symbiosis during analysis of texts. The first model, designed to describe the processes of discovering new terms, was called the information technology-oriented (ITO) model. The second model describes the processes of discovering sentiments in messages of social network users and, at the same time, new terms if they are found in these messages. It was named the ITO-Sent model. The principal aim of the paper is to compare these two models.
Keywords: sentiments, discovering new terms, ITO model, text analysis, ITO-Sent model, information technology design.
Funding agency Grant number
Russian Foundation for Basic Research 20-04-60185
The research was carried out using the infrastructure of the shared research facilities CKP “Informatics” of FRC CSC RAS. The reported study was funded by RFBR, project number 20-04-60185.
Received: 12.04.2022
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: I. M. Zatsman, O. V. Zolotarev, A. K. Khakimova, “Medium models for discovering novel terms and sentiments from texts”, Inform. Primen., 16:2 (2022), 60–67
Citation in format AMSBIB
\Bibitem{ZatZolKha22}
\by I.~M.~Zatsman, O.~V.~Zolotarev, A.~K.~Khakimova
\paper Medium models for~discovering novel terms and~sentiments from~texts
\jour Inform. Primen.
\yr 2022
\vol 16
\issue 2
\pages 60--67
\mathnet{http://mi.mathnet.ru/ia787}
\crossref{https://doi.org/10.14357/19922264220208}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=4538871}
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  • https://www.mathnet.ru/eng/ia787
  • https://www.mathnet.ru/eng/ia/v16/i2/p60
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Информатика и её применения
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    References:16
     
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