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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM18745
Volume:
7 |
4 |
Apr 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Major psychological health issues like stress, anxiety, etc. are a direct outcome of technology development and a huge increase in social media usage. It is possible to examine these problems and develop prevention plans. As a result of people’s great desire to support SMEs, social media monitoring of blogs is essential to resolving these serious issues (Social Media Environments). Psychologists used conventional techniques like surveys and interviews, but these procedures are time-consuming and hysterical. In this paper, we reviewed a variety of stress detection techniques and discovered that they were unsuccessful for identifying stress in social media. In this study, we presented a method for effectively detecting stress in people by utilising the ontology. Using the ontology for stress detection among people and recommending the essential safety measures to stop users from committing suicide is what we presented as an effective stress detection approach in this study. The term matching search method known as ontology is utilised in social media to more accurately detect communications shared by users that are connected to stress.
KEYWORDS
Publication Date
7/3/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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