A textual-based featuring approach for depression detection using machine learning classifiers and social media texts

Raymond Chiong, Gregorius Satia Budhi, Sandeep Dhakal, Fabian Chiong

Abstract: Highlights•Depression is among the most prevalent mental disorders that can lead to suicide.•Due to self-denial, depression can remain untreated, and this can aggravate the condition.•Social media texts are useful for monitoring depression.•Textual-based featuring methods alongside machine learning classifiers were tested.•Results show that the tested approach performs well across different datasets.