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Creating a Text Analysis Tool for Socio-Humanitarian Research. Part 2. The RSA Machine and the Experience in Using It

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Abstract

This paper considers the best-known tools for linguistic and statistical analysis of text corpora and introduces the RSA machine, which is a novel text analysis tool for socio-humanitarian research. The machine architecture and developing tools of the RSA machine are described. The results of a pilot study of texts using the RSA machine are presented. The pilot study of the capabilities of the new tool was carried out on the basis of 142 essay texts written on the theme “I. Others. World.” The performed correlation analysis revealed some relations between extracted texts attributes detected using the RSA machine (e.g. the frequency of predicate types and syntaxeme types) and psychodiagnostic research data, in particular, that on the level of aggressiveness. A scheme for interpreting predicate analysis data is proposed, which allows us to describe the specifics of speech-cognitive activity and worldview depending on the group and personal characteristics of the authors of the texts.

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REFERENCES

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Funding

This work was supported by the Ministry of Science and Higher Education of the Russian Federation, project no. 075-15-2020-799.

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Authors and Affiliations

  1. Federal Research Center Computer Science and Control, Russian Academy of Sciences, 119333, Moscow, Russia

    Y. M. Kuznetsova, I. V. Smirnov, M. A. Stankevich & N. V. Chudova

Authors
  1. Y. M. Kuznetsova
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  2. I. V. Smirnov
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  3. M. A. Stankevich
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  4. N. V. Chudova
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Corresponding author

Correspondence to Y. M. Kuznetsova.

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The authors declare that they have no conflicts of interest.

Additional information

Translated by L. Solovyova

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Kuznetsova, Y.M., Smirnov, I.V., Stankevich, M.A. et al. Creating a Text Analysis Tool for Socio-Humanitarian Research. Part 2. The RSA Machine and the Experience in Using It. Sci. Tech. Inf. Proc. 47, 374–382 (2020). https://doi.org/10.3103/S0147688220060040

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  • DOI: https://doi.org/10.3103/S0147688220060040

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