Intelligent monitoring

Machine Learning of the Classifier of Authors of Social Network Messages

The results of research into the process of grouping authors of printed text messages in social networks are presented. The hypothesis about the possibility of grouping authors based on the results of the classification of their text messages has been confirmed. For this purpose, the virtual robot builds an intelligent monitoring agent for grouping the authors of social network text messages. The peculiarity of these messages is that they are short texts.

Machine learning of software agents for classification sociotypes

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.