1School of Computer Sciences, KBC-NMU, Jalgaon, Maharashtra, India
2Babaria Institute of Technology, Vadodra, Gujrat, India
3School of Computer Sciences, KBC-NMU, Jalgaon, Maharashtra, India
4School of Computer Sciences, KBC-NMU, Jalgaon, Maharashtra, India
*Correspondence: Monali Kishor Patil, B.E. (Computer Engineering), M.E. (Computer Engineering), Ph.D. student, School of Computer Sciences, KBC-NMU, Jalgaon, Maharashtra, India, 302/A3, Runval Garden City, Thane (west), Pin: 400608. monalismart1981@gmail.com
Online published on 27 August, 2020.
As the research in sentiment analysis (SA) has reached the advanced level of maturity, scientific community is exploring possibilities of applying SA in different domains for which huge descriptive data is available. Researcher has developed tools for SA in commercial domains like feedback from customers, review rating of movie, political domains like exit poll prediction from tweets, etc. In medical science, huge data is available which can be used for predictive modelling. Psychomedical diagnosis is an interesting field which deals with exploring behavioural patterns to potential psychological problems. In the domain of medical science, little amount of work has been done in clinical SA. However, the efforts are at an elementary level in the course of research of SA for behavioural psychology. Hence, there is an opportunity of applying SA as the first step towards automatic psychomedical diagnosis of teenagers’ behaviour patterns.
NLP, ML, Emotion-Ontology, Mental Illness, Psychology