One of the most important trends in the development of modern information systems is the integration of user interaction signals into them, the creation of which is associated with the development of neural network tools for recognizing negative human emotions based on an algorithm and a special program. It has been confirmed that in order to ensure effective recognition, a number of points should be taken into account, which should be adequately reflected in the paradigms for constructing these tools. At the same time, most modern researches in this area are focusing on creating original solutions and are characterized by the fact that these technologies are most often used for security in the military sphere and also in other important facilities of the institution (airports, schools, recruitment). To eliminate this shortcoming, many basic paradigms for constructing programs and algorithms for recognizing negative human emotions have been developed, which are directly related not only to human psychology, but also to behavior.

The article presents the world's modern approaches to the study and identification of negative human emotions. The main goal of this study is to identify programs and algorithms of the emotional sphere and approaches to identifying negative emotions in a person. A rapidly developing society offers more and more modern technologies that can be unnoticed in observation, but information systems and special programs, which include knowledge of psychological science help build a holistic picture of the nature and behavior of a person, and through emotions to show his intentions and attitudes and to draw reliable conclusions.

The article presents modern approaches to the study of human emotions and presents the historical contribution of researchers in the development of programs, an algorithm for studying negative human emotions.