АЛГОРИТМИЧЕСКИЙ ПОДХОД К АНАЛИЗУ ЭМОЦИОНАЛЬНОЙ ОКРАСКИ И ПОЭТИЧНОСТИ УЗБЕКСКИХ ТЕКСТОВ

Authors

  • Барахнин Владимир Борисович Author
  • Менглиев Давлатёр Бахтиярович Author

Keywords:

Uzbek poetry, recognition algorithm, vocabulary base, sentiment analysis, algorithm accuracy, artificial intelligence, lexicons, emotional richness, morphological structure, literary research.

Abstract

This article presents the development of an algorithm for recognizing poetic texts in the Uzbek language using a lexical approach. The research focuses on creating an extensive dictionary containing more than 10 thousand poetic words and expressions collected from contemporary literary works. The algorithm analyzes texts, comparing each word with the dictionary database, determining its emotional connotation and presence in the dictionary. A feature of the developed dictionary is the inclusion of full forms of words, which allows you to accurately preserve their meaning in the text. The results of testing the algorithm on a sample of texts showed its high.

References

D. Mengliev, E. Akhmedov, V. Barakhnin, Z. Hakimov, O. Alloyorov, "Utilizing Lexicographic Resources for Sentiment Classification in Uzbek Language," 2023 IEEE XVI International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering (APEIE), Novosibirsk, Russian Federation, pp. 1720-1724, 10-12 November 2023.

D. Mengliev, V. Barakhnin, M. Eshkulov, B. Palvanov, N. Abdurakhmonova, S.Khamraeva, "Dictionary-Based Medical Text Analysis in Uzbek: Overcoming the Low- Resource Challenge," 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB), Novosibirsk, Russian Federation, pp. 85-89, 28-30 September 2023.

M. Sharipov, J. Mattiev, J. Sobirov, R. Baltayev, “Creating a morphological and syntactic tagged corpus for the Uzbek language”, The International Conference and Workshop on Agglutinative Language Technologies as a challenge of Natural Language Processing (ALTNLP), June 7-8, 2022.

G. Oripova, “Uzbek poetry and the world literature in the years of independence”, Periodyk naukowy akademii polonijnej,, vol. 32, pp. 116-130, 2019.

O. Kozhemyakina, “Information systems for the analysis of poetic texts: history, methods and algorithms”, Journal of Computational Technologies, pp. 136-166, 2023.

V. Barakhnin, O. Kozhemyakina, I. Kuznetsova, V. Karpova, “The model of facture of Russian poetic texts”, Journal of Computational Technologies, pp. 107-117, 2021.

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Published

2024-06-24

Issue

Section

SECTION 3. Language and speech analysis in NLP (morphological, syntactic and semantic analysis; speech analysis and synthesis).

How to Cite

АЛГОРИТМИЧЕСКИЙ ПОДХОД К АНАЛИЗУ ЭМОЦИОНАЛЬНОЙ ОКРАСКИ И ПОЭТИЧНОСТИ УЗБЕКСКИХ ТЕКСТОВ. (2024). «CONTEMPORARY TECHNOLOGIES OF COMPUTATIONAL LINGUISTICS», 2(22.04), 354-358. https://myscience.uz/index.php/linguistics/article/view/77

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