JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
AI in detecting mental illness.
Roopini H M, Dr.Sunitha G P.
Depression is a prevalent condition worldwide, and its diagnosis is challenging due to its non-physical symptoms. As individuals with depression share their symptoms, significant life events, and relationship dynamics on social media as posts. Researchers are increasingly leveraging digital footprints to raise awareness about the disorder. Psychological research is increasingly using natural language processing (NLP) messages on social media to explore the link between depression and language. Mental illness can affect a person's mood and often result in chronic sadness, hopelessness, anxiety and low self-esteem. Social media platforms have become important sources of mental health information, providing insights as users join conversations, share experiences, seek advice, and connect with others. Accurate diagnosis is critical in the treatment of mental illness, especially major depression, and early diagnosis and intervention are critical. The rate of recovery from depression is closely related to the scale of relapse; this research aims to expand our understanding of depression by identifying social factors, helps in improving early diagnosis.
Mental illness, Psychological, Major depression diagnosis, Social media, Natural language processing.