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In this study, we developed a method to detect signals of associations between dietary supplement intake and mental disorder in Twitter data. We developed an annotated dataset and trained a convolutional neural network classifier that can identify language use pattern of dietary supplement intake with an F1-score of 0.899, a precision of 0.900, and a recall of 0.900. Using the classifier, we discovered that melatonin and vitamin D were the most commonly used supplements among Twitter users who self-diagnosed mental disorders. Sentiment analysis using Linguistic Inquiry and Word Count has shown that among Twitter users who posted mental disorder self-diagnosis, users who indicated supplement intake are more active and express more negative emotions and fewer positive emotions than those who have not mentioned supplement intake.<\/jats:p>","DOI":"10.1177\/1460458219867231","type":"journal-article","created":{"date-parts":[[2019,9,30]],"date-time":"2019-09-30T23:12:34Z","timestamp":1569885154000},"page":"803-815","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Detecting associations between dietary supplement intake and sentiments within mental disorder tweets"],"prefix":"10.1177","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2153-8187","authenticated-orcid":false,"given":"Yefeng","family":"Wang","sequence":"first","affiliation":[{"name":"University of Minnesota, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5771-3373","authenticated-orcid":false,"given":"Yunpeng","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of Florida, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianqiu","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Minnesota, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2238-5429","authenticated-orcid":false,"given":"Jiang","family":"Bian","sequence":"additional","affiliation":[{"name":"University of Florida, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Minnesota, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,9,30]]},"reference":[{"key":"bibr1-1460458219867231","doi-asserted-by":"publisher","DOI":"10.1017\/S2045796017000774"},{"key":"bibr2-1460458219867231","doi-asserted-by":"publisher","DOI":"10.1186\/1475-2891-7-2"},{"key":"bibr3-1460458219867231","first-page":"1","volume-title":"Proceedings of the seventh international AAAI conference on weblogs and social media (ICWSM13)","author":"De Choudhury M"},{"key":"bibr4-1460458219867231","first-page":"51","volume-title":"Proceedings of the workshop on computational linguistics and clinical psychology: from linguistic signal to clinical reality","author":"Coppersmith G"},{"issue":"3","key":"bibr5-1460458219867231","first-page":"290","volume":"3","author":"Cauffield JS","year":"1999","journal-title":"Lippincotts Prim Care Pract"},{"key":"bibr6-1460458219867231","unstructured":"Perrin A. 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