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 | mahmoodedu@gmail.com
  • Mohd Tajuddin
    B.S Abdur Rahman Crescent Inst.of Sci. & Techn., India
  • M. Kabeer
    B.S Abdur Rahman Crescent Inst.of Sci. & Techn, India

Abstract

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).

Keywords

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

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Submitted: 2018-03-15 13:56:38
Published: 2018-06-29 14:38:56
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References

IITRourke

Dept of CSE

Durga Toshniwal

Associate Professor

durgafec@iitr.ac.in

+91-1332-285687

http://www.iitr.ac.in/departments/CSE/pages/People+Faculty+Durga_Toshniwal.html

Lakhwinder Kaur, Ph.D., Reader

Department of CSE

Punjabi university

http://punjabiuniversity.ac.in/pbiuniweb/pages/teaching/ucoe.htm

phone number missing even on website

Dr. Mudassir Manzoor Kirmani

Computer Science

Sher-e-Kashmir University of Agricultural Sciences and Technology

http://skuastkashmir.academia.edu/Departments/Computer_Science

email: mmkirmani@gmail.com

Dr. Mohammad Majmud Doja

Dept of Computer Engineering

Faculty of Engineering and Technology

Jamia milia islamia (central University)

Phone number: 09811380489

email: mdoja@jmi.ac.i, mndoja@gmail.com, ndoja@yahoo.com

http://jmi.ac.in/computerengg/faculty-members/Dr_Mohammad_Najmud_Doja-1762

Prof. Roohie Naaz Mir

dept of cse

Dept. Phone Number: Phone: 0194 - 2424792

email:naaz310@nitsri.net (Srinagar)

http://www.nitsri.net/cse/faculty_cse.pdf

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