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Book chapter · CRC Press eBooks · June 27, 2024

Algorithm for analysis of texts in Uzbek language

Narzillo Mamatov, N. M. Turgunova, Bakhodirjon Turgunov, B.N. Samijonov

Abstract

The main goal of this article is to extract automatic words from texts in the Uzbek language. One of the main tasks within this issue is the formation of a thesaurus on a certain topic. A more proven statistical method for extracting terms in texts is NLP, BERT, TF-IDF, and types of algorithms that analyze terms by text clustering to the meanings of words. Extracting terms and terms through text segmentation is not 100% accurate and complete, using them over and over again can increase the error rate. As a result of this study, it is possible to reliably obtain the necessary terms by filtering through the ratio of frequencies.

Advanced Text Analysis TechniquesNatural Language Processing TechniquesTopic ModelingUzbek languageterm extractionthesaurus construction

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