Mental stress is becoming a threat to people’s health now a days. With the rapid pace of life, more and more people are feeling stressed. It is not easy to detect users stress in an early time to protect user. With the fame of web-based social networking, individuals are used it for 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. Facebook application contains different posts which shows different emotions. Conventional neural network(CNN) is used for topic extraction. Using Support Vector Method(SVM) we can classified users are in stress or not.After classification users are in stress or not ,k-nearest neighbours algorithm (KNN) is used for recommendation of hospital on a map.This system is proposed for users healthy mental state.

Stress Detection, Factor Graph Model, Microblog, Social media, Healthcare, Social Interaction

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