SOCIAL NETWORKS USER CLASSIFICATION FOR PROFESSIONAL ORIENTATION

Authors

  • V. Obrubova "Vladimir State University named after Alexander Grigorievich and Nikolai Grigorievich Stoletovs" (VlSU)
  • M. Ozerova "Vladimir State University named after Alexander Grigorievich and Nikolai Grigorievich Stoletovs" (VlSU)

DOI:

https://doi.org/10.31618/nas.2413-5291.2021.2.68.451

Keywords:

classification; classification algorithms; vocational guidance; social networks

Abstract

The article deals with a complex formulation of the topic social networks users classification to determine professional orientation.

Author Biographies

V. Obrubova , "Vladimir State University named after Alexander Grigorievich and Nikolai Grigorievich Stoletovs" (VlSU)

2nd year master's student of the Department of Information Systems and Software Engineering

M. Ozerova , "Vladimir State University named after Alexander Grigorievich and Nikolai Grigorievich Stoletovs" (VlSU)

candidate of technical sciences, associate professor

References

Tang B. et al. A Bayesian classification approach using class-specific features for text categorization // IEEE Transactions on Knowledge and Data Engineering. –2016. – T. 28. – № 6. – S. 1602– 1606.

Weka Wiki – rezhim dostupa: https://waikato.github.io/weka-wiki/

Zeer, E. F. Proforientologiya : teoriya i praktika : ucheb. posobie dlya studentov vuzov / E. F. Zeer, A. M. Pavlova, N. O. Sadovnikova ; E. F. Zeer, A. M. Pavlova, N. O. Sadovnikova. – Moskva : Akad. proekt ;, 2006. – (Uchebnoe posobie dlya vysshej shkoly). – ISBN 5829106841.

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Published

2021-07-01

Issue

Vol. 2 No. 68 (2021)

Section

Статьи

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