2022
DOI: 10.1007/s11469-022-00966-z
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Synthesis of Affective Expressions and Artificial Intelligence to Discover Mental Distress in Online Community

Abstract: Looking at the rapidity the social media has gained ascendancy in the society, coupled with considerable shortage of addressing the health of the social media users, there is a pressing need for employing mechanized systems to help identify individuals at risk. In this study, we investigated potential of people’s social media language in order to predict their vulnerability towards the future episode of mental distress. This work aims to (a) explore the most frequent affective expressions used by online users … Show more

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