METHOD OF DEVELOPING ARTIFICIAL PATTERNS TO ANALYZING SEMANTIC SIMILARITY OF DOCUMENTS

Authors

  • Tuliev Ulugbek Author
  • Abdurakhmonova Nilufar Author

Keywords:

semantic similarity of documents, latent feature.

Abstract

A technique for creating artificial patterns using data from textual documents is considered. There is a need for patterns to reduce the dimensionality of the feature space and analyse the semantic similarity of thematic documents. The composition of patterns is formed according to the rules of hierarchical agglomerative grouping. The formation process is based on the selection of a latent feature space using the technology for calculating generalized assessments of objects.

References

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N. Abdurakhmonova, U. Tuliyev and A. Gatiatullin, "Linguistic functionality of Uzbek Electron Corpus: uzbekcorpus.uz," 2021 International Conference on Information Science and Communications Technologies (ICISCT), Tashkent, Uzbekistan, 2021, pp. 1-4, http://doi.org/10.1109/ICISCT52966.2021.9670043

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N.A. Ignatyev, Sh.F.Madrakhimov, D.Y.Saidov. Stability of object classes and selection of the latent features // International journal of engineering technology and sciences, 2017, Malaysia, Vol. 7, pp. 1-10.

Игнатьев Н.А., Саидов Д.Ю. Анализ данных и принятие решений с помощью логических закономерностей в форме полуплоскостей // Известия СамНЦ, 2017, Том 19, № 4(2), С. 294-300.

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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

METHOD OF DEVELOPING ARTIFICIAL PATTERNS TO ANALYZING SEMANTIC SIMILARITY OF DOCUMENTS. (2024). «CONTEMPORARY TECHNOLOGIES OF COMPUTATIONAL LINGUISTICS», 2(22.04), 362-365. https://www.myscience.uz/index.php/linguistics/article/view/79

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