Abstract
It`s an obvious fact to claim, that the problem of stress has become a vital issue presently. One of the main root cause of this is the escalation of human desires and complexity of those. Most of those desires would be difficult to achieve or not practical at all. When the reality is so harsh, compared with the imaginations, it will incur for stress. More the gap between reality and the perceptions, stress will escalate. As results of people are running after unrealistic or difficult to achieve greener pastures, most of them will end up with becoming a victim of stress. Stress management is a difficult skill to be developed, but in current context, it has become an essential skill to have.
This research is based on the concept of internal self-talk. Thought stream captured in-form of text stream will be segmented, according to the cognitive behavioral therapeutic approach. This is technically implemented via POS tagging of the Stanford NLP library. Afterwards machine learning approach is used to train the WEKA engine, according to the OCEAN model, which is a prominent psychological model. Predictions derived from the trained WEKA model, will be presented inform of a report with the help of itext reporting plugin. This report will be used by the psychologist, before providing the treatment to the patient/client. It`s assumed, that this tool will be a good aiding tool, which can reduce the cognitive effort of a consultant.
Respective, problem, technical, executional and all important aspects are addressed in detail, within this paper along with required evidences.
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Mr. Kaneeka Vidanage is a BSc graduate in Information Systems & also a Britich Computer Society (BCS) graduate with MBCS professional status. He has also completed his Masters in Information Technology from University of Colombo School of Computing (UCSC). Currently, he is reading for his M Phil at UCSC. His research interests are integration of ICT into Psychology and Music Information Retrievals.
Dr. Lakshman Jayaratne (Ph.D (UWS), B.Sc.(SL), MACS, MCS(SL), and MIEEE) obtained his B.Sc (Hons) in Computer Science from the University of Colombo (UCSC), Sri Lanka in 1992. He obtained his PhD degree in Information Technology in 2006 from the University of Western Sydney, Sydney, Australia. He is working as a Senior Lecturer at the UCSC, University of Colombo. He was the President of the IEEE Chapter of Sri Lankan in 2012. He has wide experience in actively engaging in IT consultancies for public and private sector organizations in Sri Lanka. He was worked as a Research Advisor to Ministry of Defense, Sri Lanka. He Awarded in Recognition of Excellence in Research in the year 2013 at Postgraduate Convocation of University of Colombo, Sri Lanka. His research interest includes Multimedia Information Management, Multimedia Databases, Intelligent Human-Web Interaction, Web Information Management and Retrieval, and Web Search Optimization. Also his research interest includes Audio Music Monitoring for Radio Broadcasting and Computational Approach to Train on Music Notations for Visually Impaired in Sri Lanka.
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Vidanage, K., Jayaratne, L. Machine Learning and Natural Language Processing Usage for Psychological Consultation. GSTF J Comput 4, 17 (2015). https://doi.org/10.7603/s40601-014-0017-5
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DOI: https://doi.org/10.7603/s40601-014-0017-5