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Automatic Detection and Classification of Information Events in Media Texts

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Abstract

The solution to the problem of automatically identifying and classifying information events in media texts is described based on the model of phraseological conceptual analysis of texts. The proposed solution is based on the use of previously developed methods for formalizing the semantic structure of sentences, as well as methods and algorithms for identifying fragments of media texts that describe information events. The developed algorithm implements the rules of C. Fillmore’s case grammar, which are based on the procedures of semantic–syntactic and conceptual analysis of texts.

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Notes

  1. The term event (information event) will be understood as mass media message descriptions of socially significant phenomena, incidents, facts of social activity of a global or regional scale, as well as facts and events of social conglomerations or facts of personal life of famous public figures, etc.

  2. The term information line is understood as the main topic of a message, which forces the target audience to discuss it. As a rule, an information line reflects important facts of the content of an event.

  3. Dictionary of Unified Formalized Representations of Concept Names (UFRCN) [2].

  4. The structure of the sentence in the form of the main words of phrases and their relationships.

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Funding

This article was prepared as part of the PCF BR05236839 Development of information technologies and systems for stimulating the sustainable development of the individual as one of the foundations for the development of digital Kazakhstan project.

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Authors and Affiliations

  1. National Research University Moscow Aviation Institute, 125993, Moscow, Russia

    Al-dr A. Khoroshilov & Ya. D. Kozlovskaya

  2. Information Science and Control Federal Research Center, Russian Academy of Sciences, 119333, Moscow, Russia

    Al-dr A. Khoroshilov, Yu. A. Nikitin & A. A. Khoroshilov

  3. Institute of Information and Computational Technology, 050000, Almaty, Kazakhstan

    R. R. Musabaev

Authors
  1. Al-dr A. Khoroshilov
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  2. R. R. Musabaev
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  3. Ya. D. Kozlovskaya
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  4. Yu. A. Nikitin
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  5. A. A. Khoroshilov
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Corresponding authors

Correspondence to Al-dr A. Khoroshilov, R. R. Musabaev, Ya. D. Kozlovskaya, Yu. A. Nikitin or A. A. Khoroshilov.

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The authors declare that they have no conflicts of interest.

Additional information

Translated by L. A. Solovyova

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Khoroshilov, Ad.A., Musabaev, R.R., Kozlovskaya, Y.D. et al. Automatic Detection and Classification of Information Events in Media Texts. Autom. Doc. Math. Linguist. 54, 202–214 (2020). https://doi.org/10.3103/S0005105520040032

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