• Kothwal Amanulla
• Madha Radha Krishna
• Dasari siva naga phaneendra i98
• Mallela Santosh kumar

Mental illness is quickly changing into one amongst the foremost prevailing public health issues worldwide. Social network platforms, wherever users will categorical their emotions, feelings, and thoughts, square measure a valuable supply of knowledge for researching mental state, and techniques supported machine learning square measure more and more used for this purpose. The objective of this paper is to explore the scope and limits of fashionable techniques that researchers’ square measure mistreatment for prognosticative analytics in mental state and to review associated problems, like moral issues, during this space of analysis. We performed literature review as well as suggested a neural network approach to process and filter data of social network information within the context of common mental state disorders.

Depression , Stress , mental disorder, data sets , social networking sites , analytics

"Locating depressed people based on data sets from Social Network Sites", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.305-310, March-2019, Available :http://www.jetir.org/papers/JETIR1903E47.pdf

"Locating depressed people based on data sets from Social Network Sites", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp305-310, March-2019, Available at : http://www.jetir.org/papers/JETIR1903E47.pdf