Abstract
Teenage depression, also known as TD, is a common mental illness that is characterized by symptoms such as hopelessness, helplessness, pessimism, depression, and decreased energy. It has always been a hot topic to discuss how rewards and punishments work in education. In order to prevent and treat adolescent depression, this study examines the mechanisms of educational reinforcement and punishment as well as psychological interventions. In this study, the activated brain regions are analyzed using data mining (DM) technology to determine whether they are significantly more or less active than the rest of the brain of students who are not experiencing negative emotions. When the word vector has 90 dimensions, the results demonstrate that the average F1 value of the weighted word vector method is 81.3 percent. It has been established that the approach taken in this work offers a reliable way to diagnose TD.