Augmented Intelligence in Mental Health Care: Sentiment Analysis and Emotion Detection with Health Care Perspective

Abstract

Sentiment analysis or opinion mining has become one of the fastest growing areas now. Though the journey started since 1990s but huge outbreak of sentiment analysis occurred after 2004. With the increasing pressure of new era, new technology, more complex and busy lifestyle, mental health issues are also becoming more serious concerns. In this survey paper, a brief evolution history of sentiment analysis has been discussed. Briefly, emotion detection through facial expression has also been addressed. Commonly used approaches and technology used for sentiment analysis and emotion detection has been discussed with the comparison of available technologies. With the methodology used for sentiment analysis, an insight view of mental health concerns where sentiment analysis can play a vital role, has been discussed. Nowadays, our youth generation is using social website in a large scale to express their mental status, as a way of entertainment, to express their general opinion regarding any topic or issue. Hence the large web data now has gained the ability to show the overall mental condition for a large community. After corona outbreak mental issues have been increased significantly as well as use of social media also has been increased incredibly due to lockdown and work from home lifestyle. So by using the vast data of web platform, we can analyze the recent situation of mental health issues and also predict near future concerns. Although in accuracy of sentiment analysis, we are still facing many challenges with our existing algorithms, but there are a lot of future scope in this field.