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Mental health analysis during COVID-19: A comparison before and during the pandemic
4th IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1526276
ABSTRACT
COVID-19 has acted as a roadblock to mental health services across the globe, and the isolation because of the lockdowns has caused various depressive problems. Through this paper, we aim to determine the effect of COVID-19 on the public's mental health. Data obtained from some specific subreddits helps us identify a pool of users whose mental condition was affected by the pandemic. Using transformer-based classification models on the selected users' Reddit activity, we found 6.4% of our user base to be free from any mental issues before the pandemic. Further experiments show that most of the users posted about their struggles due to the pandemic during the March-May period. © 2021 IEEE.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 4th IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 4th IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2021 Year: 2021 Document Type: Article