{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:03Z","timestamp":1755219843664,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686080","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:p>Depression is a pervasive mental health disorder affecting millions globally. The rise of social networks and their digital footprint provides a unique avenue to leverage AI for early identification of users who may be suffering. We built upon BERT for feature extraction from individual user posts, followed by a Convolutional Neural Network for classification. Since the pre-trained BERT model may not effectively capture social media language, we propose an approach to pre-train BERT on Reddit data before integrating it into the BERT+CNN architecture.<\/jats:p>","DOI":"10.3233\/shti251293","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:47:32Z","timestamp":1754567252000},"source":"Crossref","is-referenced-by-count":0,"title":["Text Analysis for Depression Detection: Mental Health Digital Transformation"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6430-9611","authenticated-orcid":false,"given":"Samaneh","family":"Madanian","sequence":"first","affiliation":[{"name":"Department of Data Science and Artificial Intelligence, AUT"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Data Science and Artificial Intelligence, AUT"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI251293","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:47:32Z","timestamp":1754567252000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251293"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251293","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}