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Detecting Stress Based Social Network Interactions Using Machine Learning Techniques

  • S.Rajasekhar (Department of CSE, G.Pulla Reddy Engineering College) ;
  • K.Ishthaq Ahmed (Department of CSE, G.Pulla Reddy Engineering College)
  • Received : 2023.08.05
  • Published : 2023.08.30

Abstract

In this busy world actually stress is continuously grow up in research and monitoring social websites. The social interaction is a process by which people act and react in relation with each other like play, fight, dance we can find social interactions. In this we find social structure means maintain the relationships among peoples and group of peoples. Its a limit and depends on its behavior. Because relationships established on expectations of every one involve depending on social network. There is lot of difference between emotional pain and physical pain. When you feel stress on physical body we all feel with tensions, stress on physical consequences, physical effects on our health. When we work on social network websites, developments or any research related information retrieving etc. our brain is going into stress. Actually by social network interactions like watching movies, online shopping, online marketing, online business here we observe sentiment analysis of movie reviews and feedback of customers either positive/negative. In movies there we can observe peoples reaction with each other it depends on actions in film like fights, dances, dialogues, content. Here we can analysis of stress on brain different actions of movie reviews. All these movie review analysis and stress on brain can calculated by machine learning techniques. Actually in target oriented business, the persons who are working in marketing always their brain in stress condition their emotional conditions are different at different times. In this paper how does brain deal with stress management. In software industries when developers are work at home, connected with clients in online work they gone under stress. And their emotional levels and stress levels always changes regarding work communication. In this paper we represent emotional intelligence with stress based analysis using machine learning techniques in social networks. It is ability of the person to be aware on your own emotions or feeling as well as feelings or emotions of the others use this awareness to manage self and your relationships. social interactions is not only about you its about every one can interacting and their expectations too. It about maintaining performance. Performance is sociological understanding how people can interact and a key to know analysis of social interactions. It is always to maintain successful interactions and inline expectations. That is to satisfy the audience. So people careful to control all of these and maintain impression management.

Keywords

References

  1. EllenM Voorhees, Chris Buckley, Retrieval evaluation with incomplete information. 2004. 
  2. F. Pianesi, A. Bogomolov, B. Lepri, M. Ferron,and A. Pentland, "Daily stress recognition from mobile phone data, weather condi-tions and individual traits," in Proc. ACM Int. Conf. Multimedia, 2014 
  3. Bruno Lepri, Andrey, Michela Ferron, Alex Pentland , and Fabio Daily stress recognition from mobile phone data, weather conditions and individual traits. 2014. 
  4. Andrey Bogomolov, Bruno Lepri, Michela Ferron, Fabio Pianesi, and Alex Pentland. Daily stress recognition from mobile phone data, weather conditions and individual traits. In 2014. 
  5. Jichang Zhao, Rui Fan, Ke Xu, Yan Chen. Anger is more influential than joy: Sentiment correlation in weibo 2014. 
  6. Craig Harman, Glen Coppersmith and Mark. Measuring post traumatic stress disorder in twitter. In Proceedings of the International Conference on Weblogs and Social Media, 2014. 
  7. Glen Coppersmith, Craig Harman, and Mark Dredze. Measuring post traumatic stress disorder in . In Proceedings of the International Conference on Weblogs and Social Media, pages 579-582,2014. 
  8. Chang and Chih-Jen Lin. Libsvm: a library for support vector machines. INTELLIGENT SYSTEMS AND TECHNOLOGY, in 2015. 
  9. G. Farnadi, et al., "Computational personality recognition in social media," User Model. User-Adapted Interaction, 2016. 
  10. R. Fan, J. Zhao, Y. Chen, and K. Xu, "Anger is more influential than joy: Sentiment correlation in weibo," 2016.