Early Detection of Depression Indication from Social Media Analysis

Depression that stems through social media has been steadily growing since the past few years but with current inclination towards reliance it is highly imperative to detect early signs. Continuous observation of a user's interests and activities may highlight suspicious negative thoughts. This can help in understanding their future course action also indicate any suicidal thoughts behaviors. By using machine learning models, indications depression detection be addressed. work studies different word embedding techniques for from posts. Further, this develops model various NLP processes order address issue detection. The recommendations useful as Decision Support System counselors, psychologist good use by cyber-crime cell department criminal investigations.