DETECTING ANXIETY AND DEPRESSION FROM SOCIAL MEDIA TEXT BY APPLYING MACHINE LEARNING METHODS
Abstract. The detection of anxiety and depression through social media texts has emerged as a critical research focus, driven by the growing prevalence of mental health challenges and the widespread sharing of personal and emotional experiences on online platforms. The availability of large-scale, user-generated content provides an opportunity to develop automated systems for early detection […]