Revealing traces of depression through personal statements analysis in social media

Rosa María Ortega-Mendoza, Delia Irazú Hernández Farías, Manuel Montes-y-Gómez, Luis Villaseñor Pineda

Abstract: Highlights•Phrases with personal information represent a source of discriminative traces of depression in social media•Selecting & weighing terms regarding their occurrence in personal statements seems to be very useful for depression detection•The proposed approach shows competitive performance in early depression detection in comparison with state-of-the-art methods