SDF: psychological Stress Detection Framework from Microblogs using Pre-defined rules and Ontologies

Mohammed Mahmood Ali, Mohd Tajuddin, M. Kabeer
  • Mohammed Mahmood Ali
    Dept of CSE, University college of Engineering & Technology Osmania University,, India |
  • Mohd Tajuddin
    B.S Abdur Rahman Crescent Inst.of Sci. & Techn., India
  • M. Kabeer
    B.S Abdur Rahman Crescent Inst.of Sci. & Techn, India


Spreading of Unwanted microblogs from Social Networking Sites (SNS) is pervasive  in social media that leads to unaccountable disturbances such as Mental disorders, Wastage of precious time, Break-up of relationships, Stressness giving birth to psychological health problems and manymore.  To overcome these problems, the immense necessity is to ignore those unwanted microblogs in SNS, which is uncontrollable by humans due to addiction towards social media. Even the literate people fall prey to psychological stress from SNS. This seriousness of stress related issues is very rarely attended by researchers, to tackle such vicious microblogs. The prediction strategy is proposed named as Stress Detection Framework (SDF) to analyze the stress in microblog. SDF is developed using Ontology based Information Extraction technique using Probabilistic Model (GSHL & TreeAlignment Algorithm), set of pre-defined knowledge based logical rules that constitutes of low-level attributes (simple textual, linguistic words) and visual features (emoticons & Images) and social Interaction (Likes and Dislikes) to detect and predict stress in microblog messages.SDF is compared with TeniStrength that has shown an increase of 94.2% of stress detection rate. The experimental results obtained will aid to take precise decision for blocking/eradicating/ segregating stress related microblogs from Social media (especially SNS).


Psychological stress; Social Networking Sites (SNS); microblogs; Ontology; Stress Detection Framework (SDF); low-level attributes; Social interaction attributes

Full Text:

Submitted: 2018-03-15 13:56:38
Published: 2018-06-29 14:38:56
Search for citations in Google Scholar
Related articles: Google Scholar



Dept of CSE

Durga Toshniwal

Associate Professor


Lakhwinder Kaur, Ph.D., Reader

Department of CSE

Punjabi university

phone number missing even on website

Dr. Mudassir Manzoor Kirmani

Computer Science

Sher-e-Kashmir University of Agricultural Sciences and Technology


Dr. Mohammad Majmud Doja

Dept of Computer Engineering

Faculty of Engineering and Technology

Jamia milia islamia (central University)

Phone number: 09811380489


Prof. Roohie Naaz Mir

dept of cse

Dept. Phone Number: Phone: 0194 - 2424792 (Srinagar)

Abstract views:


Copyright (c) 2018 International Journal of Intelligent Systems and Applications in Engineering

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
© Prof.Dr. Ismail SARITAS 2013-2018     -    Address: Selcuk University, Faculty of Technology 42031 Selcuklu, Konya/TURKEY.