Processing Ukrainian-language textual content methods: monograph

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Details

The monograph is dedicated to solving the important scientific and applied problem of analysis and synthesis of computer linguistic systems for solving various problems of processing Ukrainian-language textual content. This will make it possible to increase the resourcefulness of the natural Ukrainian language based on the development of new and improved known models, methods, and means of natural language processing based on machine learning. The research was carried out with the grant support of the National Research Fund of Ukraine "Information system development for automatic detection of misinformation sources and inauthentic behaviour of chat users", project registration number 187/0012 from 1/08/2024 (2023.04/0012). This monograph describes research based on the author's thesis «Analysis and synthesis of computational linguistic systems for processing Ukrainian textual content» for a Doctoral degree in Technical Science, speciality 10.02.21 - structural, applied and mathematical linguistics.

Autorentext

Victoria Vysotska is a Professor in the Department of Information Systems and Networks at Lviv Polytechnic National University. She has authored over 500 publications, and her primary research interests focus on disinformation/ fakes/propaganda recognition/identification, detecting disinformation sources, NLP and cybersecurity.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786208171933
    • Genre Information Technology
    • Anzahl Seiten 496
    • Größe H220mm x B150mm x T31mm
    • Jahr 2024
    • EAN 9786208171933
    • Format Kartonierter Einband
    • ISBN 6208171938
    • Veröffentlichung 11.10.2024
    • Titel Processing Ukrainian-language textual content methods: monograph
    • Autor Victoria Vysotska
    • Untertitel Processing Ukrainian-language content based on semantic-linguistic analysis of big data, NLP and machine learning
    • Gewicht 757g
    • Herausgeber LAP LAMBERT Academic Publishing
    • Sprache Englisch

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