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Woman Lingual Cultural Type Analysis Using Cognitive Modeling and Graph Theory

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Advances in Intelligent Systems and Computing IV (CSIT 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1080))

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Abstract

This paper observes an analysis of lingual cultural type of woman by using graphical modeling approach. The study has been carried out in terms of applied linguistics and illustrates the integration of natural language processing technologies. The main contribution is an attempt to implement Text Mining tools to analyze poetic discourse of the late 16th – early 17th centuries and provide cognitive model of lingual cultural type. The topicality of cognitive modeling application in linguistic studies is the ability to structure and systematize the existing information, identify the scenarios for information system, and predict the relationship dynamics between the components of this system. The paper also examines the possibility of using graph theory to study lexical variables that reflect the objects of human life. Overall, the research findings indicate the most frequent connections between the lingual cultural type of woman and the lexical variables used to depict physical, social or spiritual objects of the reality in English culture.

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Authors and Affiliations

  1. Applied Linguistics Department, Lviv Polytechnic National University, Lviv, Ukraine

    Olena Flys

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  1. Olena Flys
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Correspondence to Olena Flys .

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Editors and Affiliations

  1. Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv, Ukraine

    Natalya Shakhovska

  2. Institute of Computer Science and Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine

    Mykola O. Medykovskyy

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Flys, O. (2020). Woman Lingual Cultural Type Analysis Using Cognitive Modeling and Graph Theory. In: Shakhovska, N., Medykovskyy, M.O. (eds) Advances in Intelligent Systems and Computing IV. CSIT 2019. Advances in Intelligent Systems and Computing, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-33695-0_41

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