Detecting depression on social media

Research published in the International Journal of Data Analysis Techniques and Strategies demonstrates how a semi-supervised deep learning model can be used to identify signs of depression in online social media users. Given that mental health is high on the modern medical agenda, the development of methods that can help spot early symptoms associated with mental health problems could be important in offering users an intervention sooner, rather than later.