Impact on Human Mental Behavior after Pass through a Long Time Home Quarantine Using Machine Learning
Автор: Imrus Salehin, Sadia Tamim Dip, Iftakhar Mohammad Talha, Ibrahim Rayhan, Kanij Fatema Nammi
Журнал: International Journal of Education and Management Engineering @ijeme
Статья в выпуске: 1 vol.11, 2021 года.
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In the present situation, COVID-19 is a very common and dangerous issue in the whole world. Ensuring our healthy mental state is very essential at the period of COVID-19. But as a result of being in the home quarantine for a long time, people are going to notice a mental change such as stress, depression, mood swing. We proposed an RHMCD model which helps us to reach our required goal. This model contains machine learning algorithms. We examined our work with Naive Bayes classifiers, Support Vector Machine, and logistic regression. For gaining the report of mental conditions we used the sentiment analysis technique. For measuring the level of depression we also used a decision tree approach.
Human mental behaviour, Home quarantine, Machine learning, Decision tree, Time factor
Короткий адрес: https://sciup.org/15017286
IDR: 15017286 | DOI: 10.5815/ijeme.2021.01.05
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