Depression Levels Detection Through Twitter Tweets Using RoBERTa Method

Mental health conditions are one thing that needs to be considered as important physical health. Depression is a mental disorder can affect person's social life. The Twitter media platform where users pour their hearts out in the form of tweets. This often background level depression. Accessible and diverse interactions on considerably influence psychological condition its users. study aims detect depression through data obtained from method used RoBERTa which an optimized BERT retraining. Several scenarios get best accuracy results text classification. To evaluation results, it necessary measure using Confusion Matrix method. value 72% based numerous tests have been done.