Application Of Semantic Analysis Research Articles

Application of semantic analysis in strategic marketing using the mind map tool

The article discusses the marketing use of a tool used to find solutions and systematize information as mind maps. Due to the increase in the volume and flow of information, a high degree of laboriousness of the analysis of texts in natural languages appears. To solve marketing problems and develop effective marketing strategies, the processing and analysis of the information received is of great importance. For more efficient use of tools, like mind maps, and minimization of manual data processing, there are requests such as combining maps into one from several experts or different map iterations from one expert. A technique is proposed for solving the problem of combining information from mind maps into one by semantic analysis methods, consisting of five stages. An algorithm for combining a set of mind maps into one using the methods of semantic text analysis is presented. To test the methodology, an experiment was conducted, during which more than 30 mind maps were analyzed. Based on the results of the analysis, a combined mind map based on the proposed methodology is presented and the problem of combining a number of heterogeneous maps into one is solved using semantic analysis. The article uses such methods, as literature analysis, experiment, semantic analysis of the text.

Семантический анализ развития тем «Управление» и «Управление больницами» с 1945 по 2021 годы.

The results of the study showed that the subject area on the topic of «Management» and «Hospital Management» has been developing since 1945, but it becomes wider from 1982 to 2021 and acquires clear boundaries of the object of research. The analysis of verbs allowed us to come to the conclusion that their number remains approximately at the same level. However, there are differences in the verbs used, so on the topic of «Management», first of all, actions related to the evaluation of the object of study are used, then actions related to the basis of management and then the impact on the object in order to change its state. While researchers on the topic of «Hospital management» are primarily interested in the impact on the object in order to change its condition, then an assessment of the condition of the object, at what stage this object of research is located and then its processing. Today, there is a growing interest not only in the general processes of hospital management and management, the stages of its implementation, but also in knowledge in narrow subject areas: cardiology, emergency medical care, medical technologies. It also highlights the continuous evolution of management practices in healthcare, exploring new ideas, strategies and practices to improve the efficiency and quality of «hospital management». P u r p o s e o f t h e s t u d y is to study the subject area on the topic of management and management of hospitals using semantic analysis. M a t e r i a l s a n d m e t h o d s . The works in which the application of semantic analysis, classification of verbs and nouns is directly reflected are studied. Articles were selected based on the presence of terms related to the subject of the study, keywords in the most cited articles were selected. The lexico-semantic analysis of L. M. Vasiliev was used for the analysis of keywords. 10 groups of verbs are defined. R e s u l t s . It was found that initially such areas as «Demography», «Gender Sociology», «Obstetrics», «Journalism» were leading in the topic of «Hospital Management». However, by the third period, the leading positions are occupied by «Cardiology», «Emergency medical care», «Medical Technologies». This dynamic indicates a growing interest in both general management processes and specialized knowledge in this area. Also, when analyzing verbs, it was revealed that in the topic «Management» and «Hospital Management» attention is differently focused on their categories. The field of research on the topics of «Management» and «Hospital Management» was divided into health sciences, sociology and business. F i n d i n g s . Thus, the results of the study led to the conclusion that today there is a growing interest not only in general management processes, but also in knowledge about management, narrow specialties and features of gender management.

Application of Semantic Analysis and LSTM-GRU in Developing a Personalized Course Recommendation System

The selection of elective courses based on an individual’s domain interest is a challenging and critical activity for students at the start of their curriculum. Effective and proper recommendation may result in building a strong expertise in the domain of interest, which in turn improves the outcomes of the students getting better placements, and enrolling into higher studies of their interest, etc. In this paper, an effective course recommendation system is proposed to help the students in facilitating proper course selection based on an individual’s domain interest. To achieve this, the core courses in the curriculum are mapped with the predefined domain suggested by the domain experts. These core course contents mapped with the domain are trained semantically using deep learning models to classify the elective courses into domains, and the same are recommended based on the student’s domain expertise. The recommendation is validated by analyzing the number of elective course credits completed and the grades scored by a student who utilized the elective course recommendation system, with the grades scored by the student who was subjected to the assessment without elective course recommendations. It was also observed that after the recommendation, the students have registered for a greater number of credits for elective courses on their domain of expertise, which in-turn enables them to have a better learning experience and improved course completion probability.

General definition of the concept “economic security of the region” by application of semantic analysis

The article has been proposed a generalized definition of the concept of “economic security of the region”, which takes into account the points of view of most researchers and provides its comprehensive presentation. In the course of the study, a semantic analysis of 24 existing definitions of the concept of “economic security of the region” was carried out by highlighting in each of them a generic concept and essential features. The analysis showed that in most definitions the concept of “state of the region’s economy” is used as a generic concept. The analysis showed that in most definitions the concept of “state of the region’s economy” is used as a generic concept. The following are most often used as essential features that allow us to define the concept of “economic security of a region” as a separate type of concept “state of the region’s economy”: sustainable development, development stability, rational use of resources, preservation (increase) of the quality of life, integration into the country’s economy, protection of the interests of the population, economic independence, use of competitive advantages. As a result of the analysis, a generalized definition of the essential feature “development sustainability” in the context of an extended view, it is proposed to define how the state when the economic system is able to maintain equilibrium, despite the influence of crisis phenomena and processes, internal and external threats. The generalized definition of the essential feature “development stability” in the context of the extended view is proposed to define how the state when the economic system functions in a state of equilibrium, keeping its structure unchanged, and providing conditions for improving the quality of life and safety of man and the environment. Based on the results of the analysis, a generalizing definition of the concept of “economic security for the region” is proposed, which provides a comprehensive vision of this phenomenon and covers most of its existing definitions.

Simulation of search and classification of serv ice documents in automated information retrieval systems

The article discusses the use of methods of search and classification of service documents. This task is particularly relevant for bodies of state administration, where the quality of the decision depends on the timeliness of the required information. Tangible assistance in this matter can perform automated information retrieval systems. Despite the wide variety of automated document processing systems, a number of questions remain open. A promising direction for further development of these systems is the application of semantic analysis. In this regard, this study investigated the possibility of applying the methods of the latent semantic analysis to simulate the processes of search and classification of customs documents. Adequacy of this method was shown. Further development of the proposed methods is performed in the development of information technology of search of texts, their automatic classification and definition of the related documents.