• Sayaram N Shingote
• Rahul R Rathod
• Jadhav Jaydeep
• Punde Reshma
• Walase Kirti

Abstract- Mental disorders are becoming a threat to people’s health now a day. With the rapid pace of life, more and more people are feeling stressed. It is not easy to detect user’s mental disorders in an early time to protect user. With the fame of web-based social networking, individuals are used to sharing their day by day activities and interacting with friends via web-based networking media stages, making it possible to use online social network data for stress detection. In our system we find that users mental disorders state is closely related to that of his/her friends in social media, and I employ a large-scale dataset from real-world social platforms to systematically study the correlation of users’ stress states and social interactions In our system, we find that users stress state is closely related to that of his/her friends in social media, and we employ a large- scale dataset from real-world social platforms to systematically study the correlation of users’ stress states and social interactions. we first define a set of stress-related textual, visual, and social attributes from various aspects in social network mental disorders (SNMDs), In proposed system using CNN we can sentiment analysis of Facebook post after Formation of topic using Transductive Support Vector Method(TSVM) we can classified user are in detecting mentally disorders or not. After classification user are in mentally disorders or not k-nearest neighbours algorithm (KNN) is used for recommendation hospital on a map as well as Admin can send mail of precaution list for user for become healthy and happy in life.

Keywords-Stress detection, factor graph model, micro-blog, social media, healthcare, social interaction.

"DETECTING MENTAL DISORDER OF USERS VIA ONLINE SOCIAL MEDIA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.167-174, May-2019, Available :http://www.jetir.org/papers/JETIR1905Q23.pdf

"DETECTING MENTAL DISORDER OF USERS VIA ONLINE SOCIAL MEDIA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp167-174, May-2019, Available at : http://www.jetir.org/papers/JETIR1905Q23.pdf