ABSTRACT
Social networking sites are a common way for people to express their feelings in the modern world. These kinds of emotions are frequently examined in order to forecast user behaviour. These feelings are categorized here using a DL model to predict the mental disorder of users. The study is performed using social networking site, and CNN and RNN are employed to create the implementing deep learning model. In this study, multiclass classification is used to distinguish between mental problems or illness like anxiety and depression. Correctness, precision, recall, and F1 score are the performance metrics for assess the models. With a class prediction accuracy of more than 93 percent, the suggested ensemble model outperformed the other models when utilised for multiclass classification.
