Abstract: Halbert L. Dunn’s concept of wellness is a multidimensional aspect encompassing social and mental well-being.
Neglecting these dimensions over time can have a negative impact
on an individual’s mental health. The manual efforts employed
in in-person therapy sessions reveal that underlying factors of
mental disturbance if triggered, may lead to severe mental health
disorders. In our research, we introduce a fine-grained task
focused on identifying indicators of wellness dimensions and
mark their presence in self-narrated human-writings on Reddit
social media platform. Our work serves as a valuable ground
work for the early detection of chronic mental disturbances. We
present the MULTIWD dataset, a curated collection comprising
3281 instances, as a specifically designed and annotated dataset
that facilitates the identification of multiple wellness dimensions
in Reddit posts. In our study, we utilize existing classifiers to
solve this multi-label classification task and introduce them as
baselines. We highlight practical implications and our findings
indicate the potential for further enhancements to develop more
comprehensive and contextually-aware AI models in this domain.
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