{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T16:24:44Z","timestamp":1789057484268,"version":"build-2803163510"},"reference-count":76,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176076"],"award-info":[{"award-number":["62176076"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515012922"],"award-info":[{"award-number":["2023A1515012922"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Foundational Research Funding","award":["JCYJ20220818102415032"],"award-info":[{"award-number":["JCYJ20220818102415032"]}]},{"name":"Major Key Project of PCL","award":["PCL2023A09"],"award-info":[{"award-number":["PCL2023A09"]}]},{"name":"Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies","award":["2022B1212010005k"],"award-info":[{"award-number":["2022B1212010005k"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2025,1]]},"DOI":"10.1109\/taffc.2024.3431946","type":"journal-article","created":{"date-parts":[[2024,7,22]],"date-time":"2024-07-22T13:33:43Z","timestamp":1721655223000},"page":"264-276","source":"Crossref","is-referenced-by-count":12,"title":["Cross-Domain Sentiment Analysis via Disentangled Representation and Prototypical Learning"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3011-0580","authenticated-orcid":false,"given":"Qianlong","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4106-1312","authenticated-orcid":false,"given":"Zhiyuan","family":"Wen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8945-445X","authenticated-orcid":false,"given":"Keyang","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7234-1347","authenticated-orcid":false,"given":"Bin","family":"Liang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4009-5679","authenticated-orcid":false,"given":"Ruifeng","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Harbin Institute of Technology (Shenzhen), Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"412","article-title":"Sentiment analysis using support vector machines with diverse information sources","volume-title":"Proc. Conf. Empir. Methods Natural Lang. Process.","author":"Mullen"},{"key":"ref2","first-page":"3485","article-title":"Text classification improved by integrating bidirectional LSTM with two-dimensional max pooling","volume-title":"Proc. Int. Conf. Comput. Linguistics","author":"Zhou"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2913641"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3056664"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10555-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2023.3285238"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref8","article-title":"RoBERTa: A robustly optimized BERT pretraining approach","author":"Liu","year":"2019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2023.3283170"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106162"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3115\/1610075.1610094"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1058"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.599"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1112"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6336"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107280"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015773"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.07.001"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/311"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.370"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3061139"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3158843"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.174"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref25","article-title":"Towards a definition of disentangled representations","author":"Higgins","year":"2018"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3446374"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(03)00035-9"},{"key":"ref28","first-page":"127","article-title":"C-Feel-It: A sentiment analyzer for micro-blogs","volume-title":"Proc. Annu. Meeting Assoc. Comput. Linguistics","author":"Joshi"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2120"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-10336-3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.286"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3035277"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.28"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3094987"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3155290"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.110182"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23654-4_2"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3250499"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.374"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412003"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2717879"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.198"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599904"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/s16-1002"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3233\/AIC-180752"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3075238"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2023.3297964"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.eacl-main.71"},{"key":"ref49","first-page":"440","article-title":"Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification","volume-title":"Proc. Annu. Meeting Assoc. Comput. Linguistics","author":"Blitzer"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772767"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n19-1258"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1089"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1235"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2019.06.001"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531984"},{"key":"ref57","article-title":"Hierarchical attention transfer network for cross-domain sentiment classification","volume-title":"Proc. AAAI Conf. Artif. Intell.","author":"Zheng"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380088"},{"key":"ref59","first-page":"136","article-title":"Unsupervised domain adaptation with residual transfer networks","volume-title":"Proc. Adv. Int. Conf. Neural Inf. Process. Syst.","author":"Long"},{"key":"ref60","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Long"},{"issue":"1","key":"ref61","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.572"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref64","first-page":"1339","article-title":"Learning invariant representations with local transformations","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sohn"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.186"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref67","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xie"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17037"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1038"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414930"},{"key":"ref71","first-page":"7099","article-title":"Mere contrastive learning for cross-domain sentiment analysis","volume-title":"Proc. Int. Conf. Comput. Linguistics","author":"Luo"},{"key":"ref72","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"issue":"1","key":"ref73","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref74","article-title":"XLNet: Generalized autoregressive pretraining for language understanding","volume-title":"Proc. Adv. Int. Conf. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.49"},{"issue":"11","key":"ref76","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5165369\/10908445\/10606039.pdf?arnumber=10606039","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,3]],"date-time":"2025-03-03T13:34:10Z","timestamp":1741008850000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10606039\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":76,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2024.3431946","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}