Abstract:
A text as a complex semantic and syntactic formation has a number of psycholinguistic characteristics, which include integrity and semantic orientation. A text can be viewed as a product of speech activity with a high degree of semantic variation determined by its temporal and sonar characteristics. Nonverbal behavior of network entities — virtual masks and robotic agents — reveals itself in texts. The article raises and solves the problem of identifying the type of accentuation of pattern of behavior of a virtual entity based on statistical analysis of text communication, which allows one to formulate a hypothesis about the structural properties of a given communication and build a matrix of probabilities of relationship between virtual masks of subjects. The practical significance of the proposed solution is based on the growing importance of the development of the system of conditional signs, in this case, the conditional languages of e-communication, for the generation of control clusters regulating the social behavior of virtual subjects in the network. This assumption is based on the hypothesis of Kenneth Ivers, according to which, the better the system of conventional signs, the more opportunities to create new algorithms.
Keywords:
psycholinguistic characteristics; nonverbal behavior; virtual masks; process of thinking; semantic meaning; linguistic relativism.
The work was carried out within the Ministry of Education and Science of the Russian Federation’s program of
financing the competitive part of public tasks to institutions of higher education and scientific organizations to
implement initiative scientific projects (No. 28.2635.2017/PP).
Received: 25.04.2017
Bibliographic databases:
Document Type:
Article
Language: Russian
Citation:
A. S. Sigov, D. A. Akimov, D. O. Zhukov, E. G. Andrianova, V. E. Sachkov, V. K. Raev, “Psycholinguistic analysis of text messages in Russian based on their phonosemantic statistical characteristics”, Inform. Primen., 11:3 (2017), 80–89
\Bibitem{SigAkiZhu17}
\by A.~S.~Sigov, D.~A.~Akimov, D.~O.~Zhukov, E.~G.~Andrianova, V.~E.~Sachkov, V.~K.~Raev
\paper Psycholinguistic analysis of text messages in Russian based on their phonosemantic statistical characteristics
\jour Inform. Primen.
\yr 2017
\vol 11
\issue 3
\pages 80--89
\mathnet{http://mi.mathnet.ru/ia488}
\crossref{https://doi.org/10.14357/19922264170309}
\elib{https://elibrary.ru/item.asp?id=29992112}
Linking options:
https://www.mathnet.ru/eng/ia488
https://www.mathnet.ru/eng/ia/v11/i3/p80
This publication is cited in the following 1 articles:
Anna V. Anikieva, Uliana S. Shvindt, “The mobility of Ural region company town residents: social practices and peculiarities of city spaces”, VESTNIK INSTITUTA SOTZIOLOGII, 11:4 (2020), 167