• S. Ashok kumar
• V.Parameshwar Reddy
• B.PanduRangaRaju

Psychological wellness conditions influence anoteworthy level of the world’s population every year. Thestress investigation of emotional wellness phenomena inopenly accessible social networking sites like twitter,sinaweibo and facebook. A set of stress-related textual, visual, andsocial attributes from various aspects are first defined andthen propose a novel hybrid model. The work hasdemonstrated the utility of online social information forcontemplating despondency, be that as it may, there have beenlimited assessments of other mental well being conditions.It isnot easy to access the user posts on their facebook page. Inorder to obtain the user data from facebook, system have toget the access token from facebook developer page. The APIact as an intermediate system that will help the system toanalysis the user information from the facebook page. Thesystem will also help to Recommending users with differentlinks for psychological counseling centers, soft music orarticles to help release their stress according to users’ stresslevel.

Stress detection, social media, micro-blog,access tokens, and face book.

"DETECTION OF STRESS RELATED POSTS IN TWITTER DATA STREAMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.127-130, December-2018, Available :http://www.jetir.org/papers/JETIR1812618.pdf

"DETECTION OF STRESS RELATED POSTS IN TWITTER DATA STREAMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp127-130, December-2018, Available at : http://www.jetir.org/papers/JETIR1812618.pdf