SDF: psychological Stress Detection Framework from Microblogs using Pre-defined rules and Ontologies
DOI:
https://doi.org/10.18201/ijisae.2018642080Keywords:
Psychological stress, Social Networking Sites (SNS), microblogs, Ontology, Stress Detection Framework (SDF), low-level attributes, Social interaction attributesAbstract
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).Downloads
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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)
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