• Prof.Rahul lokhande
• Rameshwar Suryawanshi
• Prajyot Pandilwar
• Ruturaj Pansare

Mental disorder is transforming into a hazard to people's prosperity now a days. With the quick pace of life, a regularly expanding number of people are feeling pushed.It is difficult to distinguish user mental disorders in an early time to ensure client. With the popularity of electronic long range interpersonal communication, people are at home with sharing their step by step exercises and interfacing with companions by suggests that of on-line systems administration media stages, creating it conceivable to utilize on-line informal community info for stress discovery. In our structure we discover that customers mental messes state is solidly associated with that of his/her sidekicks in internet primarily based life, and that i use a broad scale dataset from certifiable social stages to purposely think about the link of customers' weight states and social joint efforts In our framework, we discover that purchasers stress state is unquestionably known thereupon of his/her partners in on-line life, and that we utilize a vast scale dataset from real social stages to with success think about the link of clients' weight states and social affiliations.I first characterize a lot of pressure related literary, visual, and social properties from different viewpoints in interpersonal organization mental disorder (SNMDs), I proposed framework utilizing CNN we can estimation examination of facebook post after Formation of theme utilizing Transductive Support Vector Method(TSVM) we can grouped client are in recognizing rationally clutters or not.After order client are in rationally disarranges or not k-closest neighbors calculation (KNN) is utilized for suggestion medical clinic on a guide just as Admin can send letters of safety measure list for client for become sound and glad throughout everyday life.

Feature extraction, Healthcare, Social Media, Social InteractionMental Disorder Detection, Online Social Network

"MENTAL DISORDER SYSTEM VIA SOCIAL MEDIA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.291-295, May-2019, Available :http://www.jetir.org/papers/JETIRBO06056.pdf

"MENTAL DISORDER SYSTEM VIA SOCIAL MEDIA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp291-295, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06056.pdf