Development of the algorithm of keyword search in the Kazakh language text corpus

Аkanova, Akerke; Ospanova, Nazira; Kukharenko, Yevgeniya; Abildinova, Gulmira

doi:10.15587/1729-4061.2019.179036

Cited by 3 publications

(2 citation statements)

References 22 publications

(24 reference statements)

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“…As a result, a number of virtual anatomy programs have been integrated into the database, allowing mobile anatomical objects to be operated in 3D mode, as well as the layered structure of the human body (Ward et al, 2001;Makoul & Schofield, 1999). It should be noted that IT is used not only in teaching professional or natural sciences, but is an integral part of the language component, because knowledge of foreign languages, in particular, is the key to successful mastery of a technology, obtaining information from primary sources, and provides the opportunity to be aware of the latest technical and medical developments in the shortest possible time (Akanova et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

possibilities of information technology in higher education

2021

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The conception of modernization of higher medical education in Ukraine is focused on the model of training physicians who have a broad outlook, able to integrate their potential into the activities of all medical workers, meet the current level of medical science and society, capable of self-improvement and self-development using innovative information technologies. The modern health care system is in need of specialists capable of continuous professional growth and self-improvement. The aim of the article is the formation of future physicians self-by means of information technology (IT). In the article review importance of IT in the professional activities of doctors, the prospects for the development of computer technology; formation and development of the knowledge base, skills and abilities necessary for the effective use of modern programs; development of the ability to independently master software and update and integrate the acquired knowledge. In a modern information society that is constantly evolving, it is important to develop the skills of IT skills among future doctors to make important decisions.

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Section: Resultsmentioning

confidence: 99%

possibilities of information technology in higher education

2021

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“…LDA has shown its power by serving to extract related keywords from forms includes the stemmatization of the text, which occupies a special place in the further work of the thematic model. For the stemmatization of texts in the Kazakh language, Porter's algorithm was used [15]. This process simplified the text to word forms by removing endings and suffixes.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a thematic and neural network model for data learning

Аkanova

Ospanova

Sharipova

et al. 2022

EEJET

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Research in the field of semantic text analysis begins with the study of the structure of natural language. The Kazakh language is unique in that it belongs to agglutinative languages and requires careful study. The object of this study is the text in the Kazakh language. Existing approaches to the study of the semantic analysis of text in the Kazakh language do not consider text analysis using the methods of thematic modeling and learning of neural networks. The purpose of this study is to determine the quality of a topic model based on the LDA (Latent Dirichlet Allocation) method with Gibbs sampling, through neural network learning. The LDA model can determine the semantic probability of the keywords of a single document and give them a rating score. To build a neural network, one of the widely used LSTM architectures was used, which has proven itself well in working with NLP (Natural Language Processing). As a result of learning, it is possible to see to what extent the text was trained and how the semantic analysis of the text in the Kazakh language went. The system, developed on the basis of the LDA model and neural network learning, combines the detected keywords into separate topics. In general, the experimental results showed that the use of deep neural networks gives the expected results of the quality of the LDA model in the processing of the Kazakh language. The developed model of the neural network contributes to the assessment of the accuracy of the semantics of the used text in the Kazakh language. The results obtained can be applied in systems for processing text data, for example, when checking the compliance of the topic and content of the proposed texts (abstracts, term papers, theses, and other works).

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Ancient theater architecture as an element of the world cultural landscape

Portnova¹

2021

PEN

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Development of the algorithm of keyword search in the Kazakh language text corpus

Cited by 3 publications

References 22 publications

possibilities of information technology in higher education

possibilities of information technology in higher education

Development of a thematic and neural network model for data learning

Ancient theater architecture as an element of the world cultural landscape

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