IJBTT

Sentiment Classification in medical Care with Psychometric Analysis Using Emotion Detection
	© 2020 by IJCTT Journal
	Volume-68 Issue-3
	Year of Publication : 2020
	Authors : Dr. Muddada Murali Krishna, Vankara Jayavani, Pooja Gotety
	DOI :  10.14445/22312803/IJCTT-V68I3P112

How to Cite?

Dr. Muddada Murali Krishna, Vankara Jayavani, Pooja Gotety, "Sentiment Classification in medical Care with Psychometric Analysis Using Emotion Detection," International Journal of Computer Trends and Technology, vol. 68, no. 3, pp. 63-66, 2020. Crossref, 10.14445/22312803/IJCTT-V68I3P112

Abstract
The advancement of the technology in the present era is accelerating exponentially which leads to an increase in peer competition, mental tension and different mental problems like depression, schizophrenia, different disorders etc. So, a need for psychometric analysis is felt. Emotion recognition and sentiment analysis has gained a high level of popularity in research in the social networking but they have not been applied to the complicated problems of healthcare. But candidly speaking both the domains have great potential in solving some complex and interesting problems in medical science and engineering technology. This paper introduces a data science application, which acts as a psychometric analysis using the concept of Emotion recognition and sentiment analysis.

Keywords
Emotion Recognition, Sentiment Analysis, Schizophrenia, Natural Language Processing and Machine Learning.

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