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Human as Acmeologic Entity in Social Network Discourse (Multidimensional Approach)

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Speech and Computer (SPECOM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10458))

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Abstract

The main aim of the project is to study development of the acmeological approach to modeling the characteristics of the speech activity of communicants in the social network discourse (SND), taking into account the degree of “maturation” of the destructive features of the personality considering the fact that formerly some material was used, which includes features of the personality structure for the “subjects” based on samples of their written and spoken speech in the electronic media environment for the purpose of constructing an acmeological matrix that will enable experimental “measurement” of the acmeological difference in the potentials of an individual. Scientific novelty and significance of this research are determined by the modern social network situation with regard to a lot of negative information communication utterances.

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Acknowledgment

This research is supported by Russian Science Foundation. Project No.14-18-01059.

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Authors and Affiliations

  1. Institute of Applied and Mathematical Linguistics, Moscow State Linguistic University, Ostozhenka 38, Moscow, 119034, Russia

    Rodmonga Potapova

  2. Faculty of Philology, Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow, 119991, Russia

    Vsevolod Potapov

Authors
  1. Rodmonga Potapova
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  2. Vsevolod Potapov
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Corresponding author

Correspondence to Rodmonga Potapova .

Editor information

Editors and Affiliations

  1. SPIIRAS, Saint Petersburg, Russia

    Alexey Karpov

  2. Moscow State Linguistic University, Moscow, Russia

    Rodmonga Potapova

  3. University of Hertfordshire, Hatfield, United Kingdom

    Iosif Mporas

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Potapova, R., Potapov, V. (2017). Human as Acmeologic Entity in Social Network Discourse (Multidimensional Approach). In: Karpov, A., Potapova, R., Mporas, I. (eds) Speech and Computer. SPECOM 2017. Lecture Notes in Computer Science(), vol 10458. Springer, Cham. https://doi.org/10.1007/978-3-319-66429-3_40

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  • DOI: https://doi.org/10.1007/978-3-319-66429-3_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66428-6

  • Online ISBN: 978-3-319-66429-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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