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Towards an Analyzer of Emotions for Texts in Russian in Bilingual Perspective

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Digital Geography (IMS 2022)

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Abstract

This chapter presents the results of the experiment with two non-discrete annotations of the same sample of texts in Russian done, first, by Russian monolinguals and, second, by Tuvan-Russian bilinguals. Using statistical measures, we compared values obtained on four scales of emotional assessment interface in annotation done by 65 bilinguals and 174 monolinguals. As result, we saw statistically relevant differences on “shame–excitement” and “enjoyment–distress” scales: Bilinguals seem to be more sensitive to emotions of shame and distress than monolinguals and they show more significant value of emotion assessment magnitude parameter. Moreover, even inside the group of bilinguals, we discriminate statistically relevant discrepancies between balanced bilinguals and bilingual with dominating Russian language. Our main conclusion is that the concept of target-group of any emotion in text analyzer/classifier becomes necessary for modern projects in emotional text analysis.

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Acknowledgments

We want to thank the Krasnoyarsk Region Foundation for Research for supporting our research (project № 629 “Computer modeling of emotional perception of Internet texts in Russian by Tuvan-Russian bilinguals”).

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Authors and Affiliations

  1. National Research University Higher School of Economics, Saint Petersburg, Russia

    Anastasia Kolmogorova, Alina Malikova & Alexander Kalinin

  2. Siberian Federal University, Krasnoyarsk, Russian Federation

    Anastasia Kolmogorova

Authors
  1. Anastasia Kolmogorova
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  2. Alina Malikova
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  3. Alexander Kalinin
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Editor information

Editors and Affiliations

  1. St. Petersburg State University, St. Petersburg, Russia

    Radomir Bolgov

  2. Satbayev University, Almaty City, Kazakhstan

    Ravil Mukhamediev

  3. Federal University of Paraná, Curitiba, Brazil

    Roberto Pereira

  4. ITMO University, St. Petersburg, Russia

    Sergey Mityagin

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Kolmogorova, A., Malikova, A., Kalinin, A. (2024). Towards an Analyzer of Emotions for Texts in Russian in Bilingual Perspective. In: Bolgov, R., Mukhamediev, R., Pereira, R., Mityagin, S. (eds) Digital Geography. IMS 2022. Springer Geography. Springer, Cham. https://doi.org/10.1007/978-3-031-50609-3_13

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