Methods of Machine Learning and Design of a System for Determining the Emotional Coloring of Ukrainian-language Content

Abstract

In the article, the authors analyze the current state of research in the field of emotional analysis of Ukrainian-language content for data mining systems. The main methods and approaches to solving the problem are analyzed. The main machine learning algorithms for analyzing textual content are also considered. As a result of the analysis, the main methods and approaches that can be used to analyze the Ukrainian language were identified and classified. The next step was to design the system's functionality using a structural approach. The authors of the article have designed an information system using a structural approach. A contextual diagram of the information system was developed and its main process was decomposed in order to show in more detail the process of preparing and analyzing information in the process of determining the emotional coloring.