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It has changed the way we are looking at the things, it has changed the life style, it has changed the way we are consuming the information. It has created a bridge of trust among the people of different professional\u2019s. Social media has become undeniably a global phenomenon in the last decade or so, since the founding of social media sites like Twitter and Facebook. It is of significant importance to detect and manage the stress from theses interactions at early stage otherwise it wreaks havoc on your emotional equilibrium and your physical health. It narrows your ability to think clearly, function effectively and enjoy life. In this work our endeavor is that to present a novel method to detect the different stress levels from the social media interactions using fuzzy and factor graph methods. A correlation analysis between stressed, non-stressed and emotion tweets is carried out for social engagement correlation and behavior correlation analysis of the social media users. The proposed method performs better when results are compared with the other state of art machine learning methods.<\/jats:p>","DOI":"10.3233\/jifs-202035","type":"journal-article","created":{"date-parts":[[2021,7,20]],"date-time":"2021-07-20T12:53:02Z","timestamp":1626785582000},"page":"413-430","source":"Crossref","is-referenced-by-count":2,"title":["F2GM: novel hybrid approach to detect psychological stress levels from social media interactions"],"prefix":"10.1177","volume":"41","author":[{"given":"Sushil Kumar","family":"Trisal","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Shri Mata Vaishnov Devi University, Katra, Jammu and Kashmir, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ajay","family":"Kaul","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shri Mata Vaishnov Devi University, Katra, Jammu and Kashmir, 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