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Identifying Moments of Change from Longitudinal User Text
[article]
2022
arXiv
pre-print
Identifying changes in individuals' behaviour and mood, as observed via content shared on online platforms, is increasingly gaining importance. Most research to-date on this topic focuses on either: (a) identifying individuals at risk or with a certain mental health condition given a batch of posts or (b) providing equivalent labels at the post level. A disadvantage of such work is the lack of a strong temporal component and the inability to make longitudinal assessments following an
arXiv:2205.05593v1
fatcat:wateonxu2vetpncp7ljlwu2kvy