Read, Diagnose and Chat: Towards Explainable and Interactive LLMs-Augmented Depression Detection in Social Media

More than half of those who suffer from depression do not receive any Depression detection based on social media content has received increasing treatment [22]. Williams et al. [41] used a depression diagnostic attention, as it allows for early diagnosis before the user's test instrument to discover that 8% of the population had symptoms psychological state deteriorates. Although traditional methods of and a diagnosis of depression, while 7.6% had symptoms but had depression detection can provide a classification of whether the not been diagnosed. Individuals affected by mental disorders often user is depressed or not, they cannot provide human-like explanations hesitate to seek professional help [11].