{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T19:56:16Z","timestamp":1780343776122,"version":"3.54.1"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T00:00:00Z","timestamp":1585612800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T00:00:00Z","timestamp":1585612800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Netw Model Anal Health Inform Bioinforma"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s13721-020-0226-0","type":"journal-article","created":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T15:38:22Z","timestamp":1585669102000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Multi-modal social and psycho-linguistic embedding via recurrent neural networks to identify depressed users in online forums"],"prefix":"10.1007","volume":"9","author":[{"given":"Anu","family":"Shrestha","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edoardo","family":"Serra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca","family":"Spezzano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,3,31]]},"reference":[{"key":"226_CR1","doi-asserted-by":"crossref","unstructured":"Brew C (2016) Classifying reachout posts with a radial basis function SVM. In: Proceedings of the 3rd workshop on computational linguistics and clinical psychology: from linguistic signal to clinical reality, CLPsych@NAACL-HLT, San Diego, California, pp 138\u2013142","DOI":"10.18653\/v1\/W16-0315"},{"issue":"1\u20137","key":"226_CR2","first-page":"107","volume":"30","author":"S Brin","year":"1998","unstructured":"Brin S, Page L (1998) The anatomy of a large-scale hypertextual web search engine. Comput Netw 30(1\u20137):107\u2013117","journal-title":"Comput Netw"},{"issue":"3","key":"226_CR3","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola V, Banerjee A, Kumar V (2009) Anomaly detection: a survey. ACM Comput Surv (CSUR) 41(3):15","journal-title":"ACM Comput Surv (CSUR)"},{"key":"226_CR4","unstructured":"Clpsych dataset. http:\/\/clpsych.org\/shared-task-2017\/"},{"key":"226_CR5","doi-asserted-by":"crossref","unstructured":"Cohan A, Young S, Goharian N (2016) Triaging mental health forum posts. In: Proceedings of the third workshop on computational lingusitics and clinical psychology, pp 143\u2013147","DOI":"10.18653\/v1\/W16-0316"},{"key":"226_CR6","first-page":"1","volume":"13","author":"M De Choudhury","year":"2013","unstructured":"De Choudhury M, Gamon M, Counts S, Horvitz E (2013) Predicting depression via social media. ICWSM 13:1\u201310","journal-title":"ICWSM"},{"key":"226_CR7","doi-asserted-by":"crossref","unstructured":"De Choudhury M, Counts S, Horvitz E (2013) Social media as a measurement tool of depression in populations. In: Proceedings of the 5th annual ACM web science conference, ACM, pp 47\u201356","DOI":"10.1145\/2464464.2464480"},{"issue":"44","key":"226_CR8","doi-asserted-by":"publisher","first-page":"11203","DOI":"10.1073\/pnas.1802331115","volume":"115","author":"JC Eichstaedt","year":"2018","unstructured":"Eichstaedt JC, Smith RJ, Merchant RM, Ungar LH, Crutchley P, Preo\u0163iuc-Pietro D, Asch DA, Schwartz HA (2018) Facebook language predicts depression in medical records. Proc Natl Acad Sci 115(44):11203\u201311208","journal-title":"Proc Natl Acad Sci"},{"key":"226_CR9","first-page":"226","volume":"96","author":"M Ester","year":"1996","unstructured":"Ester M, Kriegel HP, Sander J, Xu X et al (1996) A density-based algorithm for discovering clusters in large spatial databases with noise. KDD 96:226\u2013231","journal-title":"KDD"},{"key":"226_CR10","doi-asserted-by":"crossref","unstructured":"Grover A, Leskovec J (2016) Node2vec: scalable feature learning for networks. In: SIGKDD, pp 855\u2013864","DOI":"10.1145\/2939672.2939754"},{"key":"226_CR11","unstructured":"Han J, Kamber M (2012) Data mining: concepts and techniques"},{"issue":"1","key":"226_CR12","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.jbi.2012.08.004","volume":"46","author":"M Hauskrecht","year":"2013","unstructured":"Hauskrecht M, Batal I, Valko M, Visweswaran S, Cooper GF, Clermont G (2013) Outlier detection for patient monitoring and alerting. J Biomed Inf 46(1):47\u201355","journal-title":"J Biomed Inf"},{"issue":"8","key":"226_CR13","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput 9(8):1735\u20131780","journal-title":"Neural Comput"},{"key":"226_CR14","doi-asserted-by":"crossref","unstructured":"Kim SM, Wang Y, Wan S, Paris C (2016) Data61-csiro systems at the CLPSYCH 2016 shared task. In: Proceedings of the 3rd workshop on computational linguistics and clinical psychology: from linguistic signal to clinical reality, CLPsych@NAACL-HLT 2016, San Diego, California, pp 128\u2013132","DOI":"10.18653\/v1\/W16-0313"},{"key":"226_CR15","unstructured":"Le Q, Mikolov T (2014) Distributed representations of sentences and documents. In: International conference on machine learning, pp 1188\u20131196"},{"key":"226_CR16","doi-asserted-by":"crossref","unstructured":"Liu FT, Ting KM, Zhou ZH (2008) Isolation forest. In: 2008 Eighth IEEE international conference on data mining, IEEE, pp 413\u2013422","DOI":"10.1109\/ICDM.2008.17"},{"key":"226_CR17","unstructured":"Lstm description. https:\/\/colah.github.io\/posts\/2015-08-Understanding-LSTMs\/"},{"issue":"3","key":"226_CR18","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1053\/smrv.1999.0075","volume":"4","author":"L Lustberg","year":"2000","unstructured":"Lustberg L, Reynolds CF III (2000) Depression and insomnia: questions of cause and effect. Sleep Med Rev 4(3):253\u2013262","journal-title":"Sleep Med Rev"},{"key":"226_CR19","doi-asserted-by":"crossref","unstructured":"MacAvaney S, Desmet B, Cohan A, Soldaini L, Yates A, Zirikly A, Goharian N (2018) RSDD-time: Temporal annotation of self-reported mental health diagnoses. In: Proceedings of the fifth workshop on computational linguistics and clinical psychology: from keyboard to clinic, CLPsych@NAACL-HTL, New Orleans, pp 168\u2013173","DOI":"10.18653\/v1\/W18-0618"},{"key":"226_CR20","doi-asserted-by":"crossref","unstructured":"Malmasi S, Zampieri M, Dras M (2016) Predicting post severity in mental health forums. In: Proceedings of the 3rd workshop on computational linguistics and clinical psychology: from linguistic signal to clinical reality, CLPsych@NAACL-HLT 2016, San Diego, pp 133\u2013137","DOI":"10.18653\/v1\/W16-0314"},{"key":"226_CR21","unstructured":"Metcalf A, Blake V (2013) Reachout.com annual user survey results"},{"key":"226_CR22","unstructured":"Millen D (2015) Reachout annual report 2013\/2014"},{"key":"226_CR23","first-page":"217","volume":"9","author":"M Park","year":"2013","unstructured":"Park M, McDonald DW, Cha M (2013) Perception differences between the depressed and non-depressed users in twitter. ICWSM 9:217\u2013226","journal-title":"ICWSM"},{"key":"226_CR24","unstructured":"Park M, Cha C, Cha M (2012) Depressive moods of users portrayed in twitter. In: Proceedings of the ACM SIGKDD workshop on healthcare informatics (HI-KDD), vol 2012, ACM New York, pp 1\u20138"},{"key":"226_CR25","unstructured":"Pennebaker JW, Boyd RL, Jordan K, Blackburn K (2015) The development and psychometric properties of LIWC2015. In: Technical report"},{"key":"226_CR26","doi-asserted-by":"crossref","unstructured":"Resnik P, Armstrong W, Claudino L, Nguyen T, Nguyen VA, Boyd-Graber J (2015) Beyond LDA: exploring supervised topic modeling for depression-related language in twitter. In: Proceedings of the 2nd workshop on computational linguistics and clinical psychology: from linguistic signal to clinical reality, pp 99\u2013107","DOI":"10.3115\/v1\/W15-1212"},{"issue":"8","key":"226_CR27","doi-asserted-by":"publisher","first-page":"1121","DOI":"10.1080\/02699930441000030","volume":"18","author":"S Rude","year":"2004","unstructured":"Rude S, Gortner EM, Pennebaker J (2004) Language use of depressed and depression-vulnerable college students. Cognit Emot 18(8):1121\u20131133","journal-title":"Cognit Emot"},{"issue":"7","key":"226_CR28","doi-asserted-by":"publisher","first-page":"1443","DOI":"10.1162\/089976601750264965","volume":"13","author":"B Sch\u00f6lkopf","year":"2001","unstructured":"Sch\u00f6lkopf B, Platt JC, Shawe-Taylor J, Smola AJ, Williamson RC (2001) Estimating the support of a high-dimensional distribution. Neural Comput 13(7):1443\u20131471","journal-title":"Neural Comput"},{"key":"226_CR29","doi-asserted-by":"crossref","unstructured":"Shrestha A, Spezzano F (2019) Detecting depressed users in online forums. In: International symposium on network enabled health informatics, biomedicine and bioinformatics (HI-BI-BI 2019), in conjuction with ASONAM\u201919","DOI":"10.1145\/3341161.3343511"},{"key":"226_CR30","unstructured":"Staiano J, Guerini M (2014) Depechemood: a lexicon for emotion analysis from crowd-annotated news. arXiv preprint arXiv:1405.1605"},{"key":"226_CR31","doi-asserted-by":"crossref","unstructured":"Wilson T, Wiebe J, Hoffmann P (2005) Recognizing contextual polarity in phrase-level sentiment analysis. In: Proceedings of the conference on human language technology and empirical methods in natural language processing, Association for computational linguistics, pp 347\u2013354","DOI":"10.3115\/1220575.1220619"},{"issue":"3","key":"226_CR32","doi-asserted-by":"publisher","first-page":"e63","DOI":"10.2196\/jmir.5042","volume":"18","author":"R Xu","year":"2016","unstructured":"Xu R, Zhang Q (2016) Understanding online health groups for depression: social network and linguistic perspectives. J Med Internet Res 18(3):e63","journal-title":"J Med Internet Res"},{"key":"226_CR33","doi-asserted-by":"crossref","unstructured":"Yates A, Cohan A, Goharian N (2017) Depression and self-harm risk assessment in online forums. arXiv preprint arXiv:1709.01848","DOI":"10.18653\/v1\/D17-1322"},{"issue":"2","key":"226_CR34","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1002\/cpp.2006","volume":"24","author":"J Zimmermann","year":"2017","unstructured":"Zimmermann J, Brockmeyer T, Hunn M, Schauenburg H, Wolf M (2017) First-person pronoun use in spoken language as a predictor of future depressive symptoms: preliminary evidence from a clinical sample of depressed patients. Clin Psychol Psychother 24(2):384\u2013391","journal-title":"Clin Psychol Psychother"}],"container-title":["Network Modeling Analysis in Health Informatics and Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13721-020-0226-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13721-020-0226-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13721-020-0226-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,30]],"date-time":"2021-03-30T23:10:29Z","timestamp":1617145829000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13721-020-0226-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,31]]},"references-count":34,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["226"],"URL":"https:\/\/doi.org\/10.1007\/s13721-020-0226-0","relation":{},"ISSN":["2192-6662","2192-6670"],"issn-type":[{"value":"2192-6662","type":"print"},{"value":"2192-6670","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,31]]},"assertion":[{"value":"4 January 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 March 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 March 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 March 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"22"}}