{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T00:09:02Z","timestamp":1772064542114,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2017,7,1]],"date-time":"2017-07-01T00:00:00Z","timestamp":1498867200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1536201"],"award-info":[{"award-number":["U1536201"]}],"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":["U1405254"],"award-info":[{"award-number":["U1405254"]}],"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":["61472092"],"award-info":[{"award-number":["61472092"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Science and Technology","award":["2014BAH41B00"],"award-info":[{"award-number":["2014BAH41B00"]}]},{"name":"National Science and Technology","award":["2015AA020101"],"award-info":[{"award-number":["2015AA020101"]}]},{"DOI":"10.13039\/501100004147","name":"Tsinghua University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004147","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2017,7,1]]},"DOI":"10.1109\/tkde.2017.2669975","type":"journal-article","created":{"date-parts":[[2017,2,15]],"date-time":"2017-02-15T19:18:21Z","timestamp":1487186301000},"page":"1370-1383","source":"Crossref","is-referenced-by-count":17,"title":["Collaboratively Training Sentiment Classifiers for Multiple Domains"],"prefix":"10.1109","volume":"29","author":[{"given":"Fangzhao","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhigang","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongfeng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression shrinkage and selection via the Lasso","volume":"58","author":"tibshirani","year":"1996","journal-title":"J Roy Statist Soc Series B"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2012.46"},{"key":"ref33","first-page":"702","article-title":"Clustered multi-task learning via alternating structure optimization","author":"zhou","year":"2011","journal-title":"Proc 24th Int Conf Neural Inf Process Syst"},{"key":"ref32","first-page":"733","article-title":"A convex formulation for learning task relationships in multi-task learning","author":"zhang","year":"2010","journal-title":"Proc 26th Conf Uncertainty Artif Intell"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-008-9111-x"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553434"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"193","DOI":"10.7551\/mitpress\/6173.003.0016","article-title":"Label propagation and quadratic criterion","author":"bengio","year":"2006","journal-title":"Semi-Supervised Learn"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1177\/0146167283091006"},{"key":"ref35","first-page":"22","article-title":"Word association norms, mutual information, and lexicography","volume":"16","author":"church","year":"1990","journal-title":"Comput Linguistics"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220619"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"ref11","first-page":"1","article-title":"Twitter sentiment classification using distant supervision","author":"go","year":"2009"},{"key":"ref12","first-page":"2332","article-title":"Microblog sentiment classification with contextual knowledge regularization","author":"wu","year":"2015","journal-title":"Proc 29th AAAI Conf Artif Intell"},{"key":"ref13","first-page":"440","article-title":"Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification","volume":"7","author":"blitzer","year":"2007","journal-title":"Proc 45th Annu Meeting Assoc Comput Linguistics"},{"key":"ref14","first-page":"513","article-title":"Domain adaptation for large-scale sentiment classification: A deep learning approach","author":"glorot","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-011-9412-y"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339701"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.139"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref28","first-page":"339","article-title":"Multi-task feature learning via efficient l 2, 1-norm minimization","author":"liu","year":"2009","journal-title":"Proc 25th Conf Uncertainty Artif Intell"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1609\/icwsm.v4i1.14031","article-title":"From tweets to polls: Linking text sentiment to public opinion time series","author":"o'connor","year":"2010","journal-title":"Proc Int AAAI Conf Weblogs Social Media"},{"key":"ref27","article-title":"MALSAR: Multi-task learning via structural regularization","author":"zhou","year":"2011"},{"key":"ref3","first-page":"17","article-title":"Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena","author":"bollen","year":"2011","journal-title":"Proc Int AAAI Conf Weblogs Social Media"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2016.2572539"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2007.00627.x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2016.31"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2014.2346920"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2200\/S00416ED1V01Y201204HLT016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.07.025"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000011"},{"key":"ref46","first-page":"1188","article-title":"Distributed representations of sentences and documents","volume":"14","author":"le","year":"2014","journal-title":"Proc 31st Int Conf Mach Learn"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2015.68"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"1074","DOI":"10.1109\/TPAMI.2008.296","article-title":"Semisupervised multitask learning","volume":"31","author":"liu","year":"2009","journal-title":"IEEE Trans Pattern Anal Machine Intell"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772767"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2012.00460.x"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3115\/1557690.1557765"},{"key":"ref42","author":"boyd","year":"2009","journal-title":"Convex optimization"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref41","first-page":"2200","article-title":"SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining","volume":"10","author":"baccianella","year":"2010","journal-title":"Proc Int Conf Lang Resources Eval"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963456"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783313"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014067"},{"key":"ref43","first-page":"123","article-title":"Proximal algorithms","volume":"1","author":"parikh","year":"2013","journal-title":"Found Trends Optim"},{"key":"ref25","first-page":"123","article-title":"Automatically extracting polarity-bearing topics for cross-domain sentiment classification","author":"he","year":"2011","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/7938564\/07857065.pdf?arnumber=7857065","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,15]],"date-time":"2025-06-15T11:36:41Z","timestamp":1749987401000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7857065\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,1]]},"references-count":47,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2017.2669975","relation":{},"ISSN":["1041-4347"],"issn-type":[{"value":"1041-4347","type":"print"}],"subject":[],"published":{"date-parts":[[2017,7,1]]}}}