This study presents the result of automation of multi-label classification of users' text posts in social networks using a neural network that has a long short-term memory architecture. The resulting model will automate part of the process of evaluating the degree of expression of psychological characteristics of users on their posts in social networks, which in turn is an important step to make recommendations to improve their protection against social engineering attacks.