{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T12:31:03Z","timestamp":1771849863130,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,7]],"date-time":"2023-12-07T00:00:00Z","timestamp":1701907200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"University of Science, VNU-HCM"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,7]]},"DOI":"10.1145\/3628797.3628977","type":"proceedings-article","created":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T15:25:34Z","timestamp":1701876334000},"page":"554-561","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Improving Depression Classification in Social Media Text with Transformer Ensembles"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7199-3180","authenticated-orcid":false,"given":"Nhut-Thanh","family":"Le-Hinh","sequence":"first","affiliation":[{"name":"Falcuty of Information Technology, University of Science, VNU-HCM, Viet Nam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0187-1777","authenticated-orcid":false,"given":"Hoa-Vien","family":"Vo-Hoang","sequence":"additional","affiliation":[{"name":"Falcuty of Information Technology, University of Science, VNU-HCM, Viet Nam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8161-8586","authenticated-orcid":false,"given":"Trong-Nghia","family":"Tran","sequence":"additional","affiliation":[{"name":"Falcuty of Information Technology, University of Science, VNU-HCM, Viet Nam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3614-7982","authenticated-orcid":false,"given":"Xuan-Nam","family":"Cao","sequence":"additional","affiliation":[{"name":"Falcuty of Information Technology, University of Science, VNU-HCM, Viet Nam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,12,7]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Retrieved","author":"Alan\u00a0Gelenberg M.D.","year":"2023","unstructured":"M.D. Alan\u00a0Gelenberg. [n. d.]. Depression definition - American psychiatric association. Retrieved June 18, 2023 from www.psychiatry.org\/patients-families\/depression"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11050676"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the Working Notes of CLEF 2021, Conference and Labs of the Evaluation Forum","author":"Basile Angelo","year":"2021","unstructured":"Angelo Basile, Mara Chinea-Rios, Ana-Sabina Uban, Thomas M\u00fcller, Luise R\u00f6ssler, Seren Yenikent, Mar\u00eda\u00a0Alberta Chulvi-Ferriols, Paolo Rosso, and Marc Franco-Salvador. 2021. Upv-symanto at erisk 2021: Mental health author profiling for early risk prediction on the internet. In Proceedings of the Working Notes of CLEF 2021, Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st to 24th, 2021. CEUR, 908\u2013927."},{"key":"e_1_3_2_1_4_1","volume-title":"Why Use Ensemble Learning?Retrieved","author":"Brownlee Jason","year":"2023","unstructured":"Jason Brownlee. 2021. Why Use Ensemble Learning?Retrieved May 05, 2023 from www.machinelearningmastery.com\/why-use-ensemble-learning"},{"key":"e_1_3_2_1_5_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119007"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICICCS51141.2021.9432203"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.ltedi-1.38"},{"key":"e_1_3_2_1_9_1","volume-title":"Data set creation and empirical analysis for detecting signs of depression from social media postings. arXiv preprint arXiv:2202.03047","author":"Kayalvizhi S","year":"2022","unstructured":"S Kayalvizhi and D Thenmozhi. 2022. Data set creation and empirical analysis for detecting signs of depression from social media postings. arXiv preprint arXiv:2202.03047 (2022)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.ltedi-1.27"},{"key":"e_1_3_2_1_11_1","volume-title":"Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692","author":"Liu Yinhan","year":"2019","unstructured":"Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.2196\/22635"},{"key":"e_1_3_2_1_13_1","volume-title":"Retrieved","author":"World\u00a0Health Organization","year":"2023","unstructured":"World\u00a0Health Organization. 2023. Depressive disorder (depression). Retrieved June 18, 2023 from www.who.int\/news-room\/fact-sheets\/detail\/depression"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.ltedi-1.40"},{"key":"e_1_3_2_1_15_1","volume-title":"Retrieved","author":"Robinson Kara\u00a0Mayer","year":"2022","unstructured":"Kara\u00a0Mayer Robinson. 2022. How Journaling Helps Manage Depression. Retrieved June 18, 2023 from www.webmd.com\/depression\/features\/writing-your-way-out-of-depression"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.ltedi-1.51"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.12.019"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.ltedi-1.56"},{"key":"e_1_3_2_1_19_1","volume-title":"Retrieved","author":"Soong Jennifer","year":"2021","unstructured":"Jennifer Soong. 2021. 6 Common Depression Traps to Avoid. Retrieved June 18, 2023 from www.webmd.com\/depression\/features\/depression-traps-and-pitfalls"},{"key":"e_1_3_2_1_20_1","unstructured":"Christoforos Spartalis George Drosatos and Avi Arampatzis. 2021. Transfer Learning for Automated Responses to the BDI Questionnaire.. In CLEF (Working Notes). 1046\u20131058."},{"key":"e_1_3_2_1_21_1","volume-title":"d.]. What is depression?Retrieved","author":"UNICEF.","year":"2023","unstructured":"UNICEF. [n. d.]. What is depression?Retrieved June 18, 2023 from www.unicef.org\/parenting\/mental-health\/what-is-depression"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICOEI53556.2022.9777181"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.ltedi-1.15"},{"key":"e_1_3_2_1_24_1","volume-title":"Twitter, Instagram, and WhatsApp. New media & society 20, 5","author":"Waterloo F","year":"2018","unstructured":"Sophie\u00a0F Waterloo, Susanne\u00a0E Baumgartner, Jochen Peter, and Patti\u00a0M Valkenburg. 2018. Norms of online expressions of emotion: Comparing Facebook, Twitter, Instagram, and WhatsApp. New media & society 20, 5 (2018), 1813\u20131831."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.01.043"},{"key":"e_1_3_2_1_26_1","unstructured":"Shih-Hung Wu and Zhao-Jun Qiu. 2021. A RoBERTa-based model on measuring the severity of the signs of depression.. In CLEF (Working Notes). 1071\u20131080."},{"key":"e_1_3_2_1_27_1","volume-title":"Xlnet: Generalized autoregressive pretraining for language understanding. Advances in neural information processing systems 32","author":"Yang Zhilin","year":"2019","unstructured":"Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ\u00a0R Salakhutdinov, and Quoc\u00a0V Le. 2019. Xlnet: Generalized autoregressive pretraining for language understanding. Advances in neural information processing systems 32 (2019)."}],"event":{"name":"SOICT 2023: The 12th International Symposium on Information and Communication Technology","location":"Ho Chi Minh Vietnam","acronym":"SOICT 2023"},"container-title":["Proceedings of the 12th International Symposium on Information and Communication Technology"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3628797.3628977","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3628797.3628977","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T12:25:17Z","timestamp":1755779117000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3628797.3628977"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,7]]},"references-count":27,"alternative-id":["10.1145\/3628797.3628977","10.1145\/3628797"],"URL":"https:\/\/doi.org\/10.1145\/3628797.3628977","relation":{},"subject":[],"published":{"date-parts":[[2023,12,7]]},"assertion":[{"value":"2023-12-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}