An Analysis of Detecting and Finding Solution to Stress through Social media
S. Rajiv1, R.Pushpakumar2

1S.Rajiv, Information Technology, VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, (Tamil Nadu),  India.
2R.Pushpakumar, Information Technology, VelTech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, (Tamil Nadu), India. 
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 1484-1488 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6630058719/19©BEIESP
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Abstract: The topic lime lights the mental pressure which undermining an individuals’ wellbeing. With the notoriety of web based social networking, individuals are accustomed to share their exercises for stretch identification. The paper discusses the identification of client’s push state and their companions in online networking. The write-up connotes the utilization of hybrid model-a factor graph consolidated with convolution neural network and social communication data. The test demonstrates that the proposed model can enhance the identification execution by 6-9 percent in F1-score. Further the discussion focuses stress relief techniques through e-mail to minimize the victim’s pressure and also provide permanent bliss.
Keyword: Factor graph model, F1 score, Convolution Neural Network, Stress.
Scope of the Article: Software Analysis, Design and Modelling.