A Review on Stress Detection of users on Social Interactions

Authors

  • Meghna Borkar  M.Tech Scholar, Department of Computer Science & Engineering, Guru Nanak Institute of Engineering and Technology, Nagpur, Maharashtra, India.
  • Vijaya Kamble  Assistant Professor, Department of Computer Science & Engineering, Guru Nanak Institute of Engineering and Technology, Nagpur, Maharashtra, India.

Keywords:

Human Stress Detection, Social Media, Healthcare, Social Interaction, Data Mining

Abstract

Psychological wellbeing conditions impact a significant dimension of the total populace each year. Mental stress is turning into a risk to individuals' well-being nowadays. With the fast pace of life, an ever-increasing number of individuals are getting affected by increasing stress level. Distinguishing the user stress at initial stage is an important yet difficult task. With the notoriety of electronic social platform, people are accustomed to sharing their day to day events and exercises and connecting with companions by means of online networking media stages, making it conceivable to utilize online social network information for stress detection. In this paper, we will discuss a various study conducted by different researchers.

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International Journal of Scientific Research in Science and Technology

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Published

2021-04-30

Issue

Volume 8, Issue 2, March-April-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Meghna Borkar, Vijaya Kamble "A Review on Stress Detection of users on Social Interactions" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 2, pp.89-95, March-April-2021.