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Profiling of Conceptual Systems Based on a Complex of Methods of Psychosemantics and Machine Learning

  • INFORMATION SYSTEMS
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Automatic Documentation and Mathematical Linguistics Aims and scope

Abstract

A new approach to profiling users of social internet services and the concept of recommender systems based on this approach are presented. The proposed approach is based on the integration of the methods and models of machine learning with the methods of psychosemantics and visual analytics, which are implemented as software package that includes three client–server systems for collecting, processing, analyzing and visualizing data.

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Authors and Affiliations

  1. Perm State National Research University, Perm, Russia

    K. I. Belousov, R. K. Bashirov, N. L. Zelianskaia, I. A. Labutin, K. V. Ryabinin & R. V. Chumakov

Authors
  1. K. I. Belousov
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  2. R. K. Bashirov
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  3. N. L. Zelianskaia
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  4. I. A. Labutin
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  5. K. V. Ryabinin
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  6. R. V. Chumakov
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Corresponding authors

Correspondence to K. I. Belousov, R. K. Bashirov, N. L. Zelianskaia, I. A. Labutin, K. V. Ryabinin or R. V. Chumakov.

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The authors declare that they have no conflicts of interest.

Additional information

“O God, I could be bounded in a nutshell and count myself a king of infinite space, were it not that I have bad dreams.”

William Shakespeare1

Translated by L. Solovyova

1Shakespeare W. Hamlet, Prince of Denmark, Tragedies, Comedies, Sonnets: Collectible Illustrated Edition, Moscow: Algoritm, 2018.

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Belousov, K.I., Bashirov, R.K., Zelianskaia, N.L. et al. Profiling of Conceptual Systems Based on a Complex of Methods of Psychosemantics and Machine Learning. Autom. Doc. Math. Linguist. 57, 193–205 (2023). https://doi.org/10.3103/S0005105523040027

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