Depression Detection Using Machine Learning Technique on X Data

There are more cases of depression affecting people nowadays compared to before. There arepeople who realise their depression, but for some, it goes unknown. At the same time, individuals oftenshare their feelings and thoughts on social media platforms which acts as a virtual diary to them. Studiesdone lately have attempted to recognise depression by applying machine learning to content produced byusers. Analysing these posts is used to determine if a person is experiencing depression. The proposedresearch aims to spot depression in individuals by monitoring their X messages. Both Naïve Bayes andNBTree will be used to classify the prepared data. Scientists found that both algorithms show roughly thesame high accuracy in detecting depression.