A chatbot of a person’s emotional state using a neural network

Abstract

Implementation of the project in the form of a chatbot of a person’s emotional state using a neural network. The work describes in detail the process of implementing a chatbot for human mental health using a neural network. Using this application allows the user to improve his emotional state in real time. With the help of surveys in the form of questions about the state of his emotional health, the application analyzes the user’s behavior for the presence of psychological ones deviations Thanks to this, you can track emotional disorders. This interaction takes place in the format of a dialogue between human and artificial intelligence. The central goal of the development is to enable people suffering from emotional disorders to improve their mental health in real time. A methodology for determining a person’s emotional state using a neural network in real time has been developed. A chatbot goes through several steps in the process of recognizing an emotional state. The first is cleaning the data for further suitable analysis. Next is the process of identifying the emotional color in each word and calculating the rating of each emotion. The output is presented in the form of a dictionary.