• CH.Manikanta Kalyan
• M.V.Rajesh
• T.Soma Shaker

Mental pressure is undermining individuals' wellbeing. It is non-paltry to identify pressure convenient for proactive consideration. With the fame of web based life, individuals are utilized to share their day by day exercises and associate with companions via web-based networking media stages, making it practical to use online informal organization information for stress identification. We find that clients stress state is firmly identified with that of his/her companions in internet based life, and we utilize an expansive scale dataset from genuine social stages to efficiently think about the relationship of clients' pressure states and social cooperations. We initially characterize a lot of pressure related literary, visual, and social qualities from different viewpoints, and after that proposed a plot .Experimental outcomes demonstrate that the proposed model can improve the discovery execution .With the assistance of list we fabricate a site for the clients to recognize their pressure rate level and can check other related exercises.

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

"Detecting Stress Based on Social Interactions in Social Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.13-16, April-2019, Available :http://www.jetir.org/papers/JETIRBE06003.pdf

"Detecting Stress Based on Social Interactions in Social Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp13-16, April-2019, Available at : http://www.jetir.org/papers/JETIRBE06003.pdf