Psycholinguistic analysis of text messages in Russian based on their phonosemantic statistical characteristics

A text as a complex semantic and syntactic formation has a number of psycholinguistic characteristics, which include integrity and semantic orientation. A text can be viewed as a product of speech activity with a high degree of semantic variation determined by its temporal and sonar characteristics. Nonverbal behavior of network entities — virtual masks and robotic agents — reveals itself in texts. The article raises and solves the problem of identifying the type of accentuation of pattern of behavior of a virtual entity based on statistical analysis of text communication, which allows one to formulate a hypothesis about the structural properties of a given communication and build a matrix of probabilities of relationship between virtual masks of subjects. The practical significance of the proposed solution is based on the growing importance of the development of the system of conditional signs, in this case, the conditional languages of e-communication, for the generation of control clusters regulating the social behavior of virtual subjects in the network. This assumption is based on the hypothesis of Kenneth Ivers, according to which, the better the system of conventional signs, the more opportunities to create new algorithms.