{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/smhd-a-large-scale-resource-for-exploring","title":"SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions","arxiv_id":"1806.05258","date":"2018-06-13","proceeding":"COLING 2018 8","authors":["Arman Cohan","Bart Desmet","Andrew Yates","Luca Soldaini","Sean MacAvaney","Nazli Goharian"],"abstract":"Mental health is a significant and growing public health concern. As language\nusage can be leveraged to obtain crucial insights into mental health\nconditions, there is a need for large-scale, labeled, mental health-related\ndatasets of users who have been diagnosed with one or more of such conditions.\nIn this paper, we investigate the creation of high-precision patterns to\nidentify self-reported diagnoses of nine different mental health conditions,\nand obtain high-quality labeled data without the need for manual labelling. We\nintroduce the SMHD (Self-reported Mental Health Diagnoses) dataset and make it\navailable. SMHD is a novel large dataset of social media posts from users with\none or multiple mental health conditions along with matched control users. We\nexamine distinctions in users' language, as measured by linguistic and\npsychological variables. We further explore text classification methods to\nidentify individuals with mental conditions through their language.","url_abs":"http://arxiv.org/abs/1806.05258v2","url_pdf":"http://arxiv.org/pdf/1806.05258v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"smhd-a-large-scale-resource-for-exploring","repo_url":"https://github.com/nehasharma666/depression","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"text-classification","task_name":"Text Classification"},{"task_slug":"text-classification-1","task_name":"text-classification"}],"methods":[],"datasets_introduced":[{"slug":"smhd","name":"SMHD","full_name":"Self-reported Mental Health Diagnoses"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1806.05258","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}