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SMHD: a large-scale resource for exploring online language usage for multiple mental health conditions. arXiv preprint arXiv:1806.05258 (2018)" }, { "key": "ref8", "doi": "10.3115/v1/w14-3207", "unstructured": "Glen Coppersmith, Mark Dredze, and Craig Harman. 2014. Quantifying mental health signals in Twitter. In Proceedings of the workshop on computational linguistics and clinical psychology: From linguistic signal to clinical reality. 51–60" }, { "key": "ref9", "doi": "10.3115/v1/w15-1201", "unstructured": "Glen Coppersmith, Mark Dredze, Craig Harman, and Kristy Hollingshead. 2015. From ADHD to SAD: Analyzing the language of mental health on Twitter through self-reported diagnoses. In Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality. 1–10" }, { "key": "ref10", "doi": "10.3115/v1/w15-1204", "unstructured": "Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, and Margaret Mitchell. 2015. 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We show that content -based representation is affected by domain and topic bias and thus does not generalize, while our model, on the other hand, suppresses topic - specific information and thus generalizes well across dif ferent topics and times. We conduct experiments on our model’s ability to detect different emotional disorders and on the Journal of Science and Technology ISSN: 2456-5660 Volume 7, Issue 09 (November 2022) www.jst.org.in DOI:https://doi.org/10.46243/jst.2022.v7.i09.pp41-49 Page | 42 Published by: Longman Publishers www.jst.org.in generalizability of our model. Our experiments show that while our model performs comparably to content-based models, such as BERT, it generalizes much better across time and topic", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2022-05-11", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1177/2167702617747074", "unstructured": "Mohammed Al-Mosaiwi and Tom Johnstone. 2018. In an absolute state: Elevated use of absolutist words is a marker specific to anxiety, depression, and suicidal ideation. Clinical Psychological Science 6, 4 (2018), 529–542" }, { "key": "ref2", "doi": "10.1007/springerreference_179660", "unstructured": "American Psychiatric Association et al. 2013. Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub. Page | 47" }, { "key": "ref3", "doi": "10.1609/icwsm.v14i1.7347", "unstructured": "Jason Baumgartner, Savvas Zannettou, Brian Keegan, Megan Squire, and Jeremy Blackburn. 2020. The pushshift reddit dataset. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 14. 830–839" }, { "key": "ref4", "doi": "10.3115/v1/p14-2030", "unstructured": "Charley Beller, Rebecca Knowles, Craig Harman, Shane Bergsma, Margaret Mitchell, and Benjamin Van Durme. 2014. I’ma belieber: Social roles via selfidentification and conceptual attributes. 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