A Big Data Approach for Healthcare Analysis During Covid-19

In the present times, with the massive growth of the Internet, unbelievably enormous measures of data are in our reach. Although our lives have been changed by prepared access to boundless information, still we need to explore the use of technology in various thrust areas. In this paper, we have analyzed and classify the mental state of people to raise awareness about mental health, especially during COVID-19. I have adopted the big data approach to accomplish this project. Two standard datasets have been used for our experiments. The idea behind our work is to use propose a customized mental health solution with the use of big data approach that can be useful for health care as well. We have applied state-of-the-art classifiers algorithm and found that the CountVec with the multinomial Naive Bayes method gives the highest accuracy in terms of precision and recall.