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Conference material: "Scientific service & Internet: proceedings of the 21th All-Russian Scientific Conference (September 23-28, 2019, Novorossiysk)"
Authors: Nizomutdinov B.A., Tropnikov A.S., Uglova A.B.
Developing Prognostic Models of User's Image with the Automated Social Networks Data Processing Methods
Abstract:
This article presents a first phases results of research project, dedicated to developing prognostic models of User's Image with the automated Social Networks data processing methods. A pilot study carried out a comparative analysis of automatic methods for analyzing textual and visual data, which constituting a User's informational image. We used a correlation analysis of data, which was obtained by using parsing methods and the results of psycho diagnostic research. As a result, multiple relationships with the socio-psychological characteristics of the respondents were identified. Based on obtained data, we have concluded about acceptable predictive capabilities of automated analysis.
Keywords:
VK, social network site, personal traits, automated analysis
Publication language: russian,  pages: 9 (p. 532-540)
Russian source text:
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About authors:
  • Nizomutdinov Boris Abdullochonovich,  orcid.org/0000-0002-4090-9564,  ITMO University
  • Tropnikov Aleksandr Sergeevich,  orcid.org/0000-0002-4179-536X,  ITMO University
  • Uglova Anna Borisovna,  ,  The Herzen State Pedagogical University of Russia