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The COVID-19 pandemic has thrown natural life out of gear across the globe.Strict measures are deployed to curb the spread of the virus that is causingit, and the most effective of them have been social isolation. This has led towide-spread gloom and depression across society but more so among the young andthe elderly. There are currently more than 200 million college students in 186countries worldwide, affected due to the pandemic. The mode of education haschanged suddenly, with the rapid adaptation of e-learning, whereby teaching isundertaken remotely and on digital platforms. This study presents insightsgathered from social media posts that were posted by students and young adultsduring the COVID times. Using statistical and NLP techniques, we analyzed thebehavioral issues reported by users themselves in their posts indepression-related communities on Reddit. We present methodologies tosystematically analyze content using linguistic techniques to find out thestress-inducing factors. Online education, losing jobs, isolation from friends,and abusive families emerge as key stress factors.

Identifying pandemic-related stress factors from social-media posts -- effects on students and young-adults