DEPRESSION DETECTION ON SOCIAL MEDIA TWITTER USING XLNET METHOD

Depression is a serious mental illness. usually characterized by feelings of sadness, hopelessness, anxiety, restlessness, and even loss life. However, not everyone who experiences depression can get professional treatment. If left unchecked, it worsen the health conditions experienced person. Social media, one which increasingly popular twitter be utilized to help deal with problem undetected Based on tweets made person social media sources detect using XLNet method. NLP (Natural Language Processing) techniques based machine learning models text. several tests that have been carried out during research such as testing various tuning hyper-parameters different values model, achieves good performance value an average accuracy 93.33%.