{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T18:03:50Z","timestamp":1774461830805,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","license":[{"start":{"date-parts":[[2014,11,3]],"date-time":"2014-11-03T00:00:00Z","timestamp":1414972800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61370023"],"award-info":[{"award-number":["61370023"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61373022"],"award-info":[{"award-number":["61373022"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2012CB316401"],"award-info":[{"award-number":["2012CB316401"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2011CB302201"],"award-info":[{"award-number":["2011CB302201"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006112","name":"Microsoft Research","doi-asserted-by":"publisher","award":["FY14-RES-SPONSOR-111"],"award-info":[{"award-number":["FY14-RES-SPONSOR-111"]}],"id":[{"id":"10.13039\/100006112","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2014,11,3]]},"DOI":"10.1145\/2647868.2654945","type":"proceedings-article","created":{"date-parts":[[2014,10,31]],"date-time":"2014-10-31T19:32:56Z","timestamp":1414783976000},"page":"507-516","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":120,"title":["User-level psychological stress detection from social media using deep neural network"],"prefix":"10.1145","author":[{"given":"Huijie","family":"Lin","sequence":"first","affiliation":[{"name":"Tsinghua University &amp; Ministry of Education, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia","family":"Jia","sequence":"additional","affiliation":[{"name":"Tsinghua University &amp; Ministry of Education, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quan","family":"Guo","sequence":"additional","affiliation":[{"name":"Sichuan University, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyuan","family":"Xue","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Huang","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lianhong","family":"Cai","sequence":"additional","affiliation":[{"name":"Tsinghua University &amp; Ministry of Education, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Feng","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,11,3]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Stress and health. Annual review of public health, 5(1), 319--341","author":"Kasl S. V.","year":"1984","unstructured":"Kasl , S. V. ( 1984 ). Stress and health. Annual review of public health, 5(1), 319--341 . Kasl, S. V. (1984). Stress and health. Annual review of public health, 5(1), 319--341."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.clinpsy.1.102803.143938"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.2307\/2136404"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00844845"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1152\/physrev.00001.2011"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2005.848368"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370270"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.4108\/icst.pervasivehealth.2013.252380"},{"key":"e_1_3_2_1_9_1","unstructured":"Sadilek A. Kautz H. A. & Silenzio V. (2012 June). Modeling Spread of Disease from Social Interactions. In ICWSM.  Sadilek A. Kautz H. A. & Silenzio V. (2012 June). Modeling Spread of Disease from Social Interactions. In ICWSM."},{"key":"e_1_3_2_1_10_1","unstructured":"Paul M. J. & Dredze M. (2011 July). You are what you Tweet: Analyzing Twitter for public health. In ICWSM.  Paul M. J. & Dredze M. (2011 July). You are what you Tweet: Analyzing Twitter for public health. In ICWSM."},{"key":"e_1_3_2_1_11_1","volume-title":"AAAI Conference on Weblogs and Social Media.","author":"De Choudhury M.","year":"2013","unstructured":"De Choudhury , M. , Gamon , M. , Counts , S. , & Horvitz , E. ( 2013 , July). Predicting depression via social media . In AAAI Conference on Weblogs and Social Media. De Choudhury, M., Gamon, M., Counts, S., & Horvitz, E. (2013, July). Predicting depression via social media. In AAAI Conference on Weblogs and Social Media."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"e_1_3_2_1_13_1","volume-title":"Learning multiple layers of representation. Trends in cognitive sciences, 11(10), 428--434","author":"Hinton G. E.","year":"2007","unstructured":"Hinton , G. E. ( 2007 ). Learning multiple layers of representation. Trends in cognitive sciences, 11(10), 428--434 . Hinton, G. E. (2007). Learning multiple layers of representation. Trends in cognitive sciences, 11(10), 428--434."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"e_1_3_2_1_15_1","first-page":"689","volume-title":"Proceedings of the 28th International Conference on Machine Learning (ICML-11)","author":"Ngiam J.","year":"2011","unstructured":"Ngiam , J. , Khosla , A. , Kim , M. , Nam , J. , Lee , H. , & Ng , A. Y. ( 2011 ). Multimodal deep learning . In Proceedings of the 28th International Conference on Machine Learning (ICML-11) (pp. 689 -- 696 ) . Ngiam, J., Khosla, A., Kim, M., Nam, J., Lee, H., & Ng, A. Y. (2011). Multimodal deep learning. In Proceedings of the 28th International Conference on Machine Learning (ICML-11) (pp. 689--696) ."},{"key":"e_1_3_2_1_16_1","volume-title":"NIPS (pp. 2231--2239).","author":"Srivastava N.","year":"2012","unstructured":"Srivastava , N. , & Salakhutdinov , R. ( 2012 ). Multimodal Learning with Deep Boltzmann Machines . In NIPS (pp. 2231--2239). Srivastava, N., & Salakhutdinov, R. (2012). Multimodal Learning with Deep Boltzmann Machines. In NIPS (pp. 2231--2239)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2014.6890213"},{"key":"e_1_3_2_1_18_1","volume-title":"NIPS (Vol. 1, No. 2","author":"Krizhevsky A.","year":"2012","unstructured":"Krizhevsky , A. , Sutskever , I. , & Hinton , G. E. ( 2012 ). ImageNet Classification with Deep Convolutional Neural Networks . In NIPS (Vol. 1, No. 2 , p. 4). Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). ImageNet Classification with Deep Convolutional Neural Networks. In NIPS (Vol. 1, No. 2, p. 4)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935854"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1177\/0261927X09351676"},{"key":"e_1_3_2_1_21_1","volume-title":"Tingshao Zhu. Developing Simplified Chinese Psychological Linguistic Analysis Dictionary for Microblog. 2013 International Conference on Brain & Health Informatics (BHI'13)","author":"Rui Gao","year":"2013","unstructured":"Rui Gao , Bibo Hao, He Li , Yusong Gao , Tingshao Zhu. Developing Simplified Chinese Psychological Linguistic Analysis Dictionary for Microblog. 2013 International Conference on Brain & Health Informatics (BHI'13) . Oct. 2013 . Maebashi, Japan. Rui Gao, Bibo Hao, He Li, Yusong Gao, Tingshao Zhu. Developing Simplified Chinese Psychological Linguistic Analysis Dictionary for Microblog. 2013 International Conference on Brain & Health Informatics (BHI'13). Oct. 2013. Maebashi, Japan."},{"key":"e_1_3_2_1_22_1","first-page":"3230","volume-title":"ICIP","author":"Wang J.","year":"2013","unstructured":"X. Wang , J. Jia , J. Yin , and L. Cai . Interpretable aesthetic features for a_ective image classi_cation . In ICIP , pages 3230 -- 3234 , Melbourne, Australia , 2013 . X. Wang, J. Jia, J. Yin, and L. Cai. Interpretable aesthetic features for a_ective image classi_cation. In ICIP, pages 3230--3234, Melbourne, Australia, 2013."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-012-1290-4"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"e_1_3_2_1_25_1","volume-title":"Convolutional networks for images, speech, and time series. The handbook of brain theory and neural networks, 3361","author":"LeCun Y.","year":"1995","unstructured":"LeCun , Y. , & Bengio , Y. ( 1995 ). Convolutional networks for images, speech, and time series. The handbook of brain theory and neural networks, 3361 . LeCun, Y., & Bengio, Y. (1995). Convolutional networks for images, speech, and time series. The handbook of brain theory and neural networks, 3361."},{"key":"e_1_3_2_1_26_1","volume-title":"On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. Advances in neural information processing systems, 2, 841--848","author":"Ng A. Y.","year":"2002","unstructured":"Ng , A. Y. , & Jordan , M. I. ( 2002 ). On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. Advances in neural information processing systems, 2, 841--848 . Ng, A. Y., & Jordan, M. I. (2002). On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. Advances in neural information processing systems, 2, 841--848."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1021\/ci034160g"}],"event":{"name":"MM '14: 2014 ACM Multimedia Conference","location":"Orlando Florida USA","acronym":"MM '14","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 22nd ACM international conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2647868.2654945","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2647868.2654945","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T06:56:09Z","timestamp":1750229769000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2647868.2654945"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,11,3]]},"references-count":28,"alternative-id":["10.1145\/2647868.2654945","10.1145\/2647868"],"URL":"https:\/\/doi.org\/10.1145\/2647868.2654945","relation":{},"subject":[],"published":{"date-parts":[[2014,11,3]]},"assertion":[{"value":"2014-11-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}