Improving the Quality of Identifying Signs of Mental Disorders in the Media Content of Social Network Users

The identification of mental disorders in the media content of social networks is an important socially significant problem, the solution of which will allow early diagnosis of the impact of individual user patterns on groups and communities of social networks. The complexity of solving this problem is due to the difficult predictable nature of the user's behavior on social networks.