| Afruz Gurbanova, Irada Alakbarova, Sabina Mammadzada Development of a method for intellectual analysis of terminological dynamic processes |
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| Abstract. The development of Internet technologies also affects the field of terminology and changes its character. As a result of the activation of information and communication processes, there is a serious growth of terms in various fields of knowledge and the process of their inclusion in the common lexicon. Due to the development of science and technology, socio-economic processes taking place in society, new terms appear, and their active use in conversation occurs. These processes require the use of new technologies for searching, collecting, distributing and analyzing terms. This article examines the automation of the analysis and evaluation of dynamic processes within the framework of the national terminological information system. Automating the identification of disciplines and the determination of interdisciplinary proximity in the national terminological system is performed using the fluent clustering method. As a result of the experiment, it is determined that as the number of new terms, as well as the number of semantically similar terms increases accordingly. Automatic distribution of new terms by appropriate subjects is performed using the Naive Bayes classifier. Automation of the analysis and assessment of national terminological processes opens up new opportunities for determining the dynamics of development of individual fields of knowledge, obtaining new trends of interdisciplinary relations, and so on. |
| Keywords: terminological system, terminological processes, determinologization, dynamic modeling, text mining, clustering, Naive Bayes |
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| DOI: https://doi.org/10.54381/itta2024.13 |