Early detection of mental health disorders is an essential step in treating and preventing
mental health conditions. Computational approaches have been applied to users' social …

Language provides a unique window into thoughts, enabling direct assessment of mental-
state alterations. Due to their increasing popularity, online social media platforms have …

Social media are heavily used by many users to share their mental health concerns and
diagnoses. This trend has turned social media into a large-scale resource for researchers …

The number of depression and suicide risk cases on social media platforms is ever-
increasing, and the lack of depression detection mechanisms on these platforms is …

In recent years, there has been increasing interest in the application of natural language
processing and machine learning techniques to the detection of mental health conditions …

Abstract In this Diploma Thesis, we study Depression and how to detect it through Deep
Learning models. Depression is one of the most common mental health illnesses that afflict …

Abstract Language can disclose a lot about a person's emotional condition, social standing,
and even personality. In the proposed research, the authors looked at the words that are …

Depression is known to have heterogeneous symptom manifestations. Investigating various
symptoms of depression is essential to understanding underlying mechanisms and …

Mental illness detection in social media can be considered a complex task, mainly due to the
complicated nature of mental disorders. In recent years, this research area has started to …

Depression is a common and serious mental illness that early detection can improve the
patient's symptoms and make depression easier to treat. This paper mainly introduces the …