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On Capturing Functional Style of Texts with Part-of-speech Trigrams

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Creativity in Intelligent Technologies and Data Science (CIT&DS 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1909))

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Abstract

This article is dedicated to automatic detection of natural language texts functional style. Part-of-speech N-grams are selected as text features for capturing word order, which depends on functional style in Russian. The introduced approach was approbated within the task of texts classification by functional style and within a content-oriented book recommender system, which uses basic and modified probabilistic topic modeling and selects writings basing on their styles similarity to the input. Successful style-based books selection showed that an expectation gap for recommender systems can be filled, since it became possible to match books by style, successfully crossing the genre boundaries. The results are applicable for texts classification by functional style in libraries and publishers software, for personalized writings selection in recommender systems for news, scientific articles and fiction, as well as for further style modelling in dialogue systems and conversational communicative robots in order to select appropriate style depending on the interlocutor’s one and on the polilogue pragmatics and participants’ roles.

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Acknowledgements

This research is partly supported by the grant of the Russian Science Foundation № 19-18-00547, https://rscf.ru/project/19-18-00547/.

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Authors and Affiliations

  1. Bauman Moscow State Technical University, 2-ya Baumanskaya ul. 5-1, 105005, Moscow, Russia

    Liliya Volkova, Alexander Lanko & Vyacheslav Romanov

  2. Russian State University for the Humanities, Miusskaya pl. 6, 125993, Moscow, Russia

    Liliya Volkova

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  1. Liliya Volkova
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  2. Alexander Lanko
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Correspondence to Liliya Volkova .

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  1. Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

  2. Volgograd State Technical University, Volgograd, Russia

    Maxim V. Shcherbakov

  3. University of Patras, Patras, Greece

    Peter P. Groumpos

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Volkova, L., Lanko, A., Romanov, V. (2023). On Capturing Functional Style of Texts with Part-of-speech Trigrams. In: Kravets, A.G., Shcherbakov, M.V., Groumpos, P.P. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2023. Communications in Computer and Information Science, vol 1909. Springer, Cham. https://doi.org/10.1007/978-3-031-44615-3_7

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  • DOI: https://doi.org/10.1007/978-3-031-44615-3_7

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