For the first time, it was proposed to use the information technology of intellectual monitoring to classify the authors of printed texts by sociotypes. The relevance of the work is determined by the need to automate the processes of describing the properties of the authors of messages, in particular in social networks, in order to develop controlling influences on a group of individuals and individuals. There is a relatively detailed description of the properties of a person belonging to one or another sociotype. This allows for the development of effective management influences. The use of this tool of information warfare aims to protect the information space of Ukraine from hostile actions. Research tasks are formalized as the task of classifying authors of printed texts. Sociotypes were used as classes. Each of the classes contained texts by 3 authors who had already passed the examination and their belonging to one of the sociotypes was established. To build text classifier models, one of the methods of machine learning is used - the method of group consideration of arguments (Group Method of Data Handling). To conduct the experiment, a monitoring software agent was built to perform Text Mining tasks. For each class of messages, a separate dictionary of features was formed and an array of numerical characteristics of texts based on these features was built, which is called the Array of Input Data. The agent was trained on massive input data describing the texts of 2 authors belonging to each class. Testing of agent models was based on the numerical descriptions of the 3rd author of each of the classes. In this way, the testing of models took place on the basis of data that did not participate in the creation of models. As a result of testing, all texts and, accordingly, their authors have been correctly classified. The hypothesis about the possibility of classifying people according to sociotypes through the intellectual analysis of their text messages has been experimentally confirmed.
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