{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T11:02:50Z","timestamp":1786100570701,"version":"3.56.0"},"reference-count":80,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100018537","name":"National Science and Technology Major Project","doi-asserted-by":"publisher","award":["2022ZD0117103"],"award-info":[{"award-number":["2022ZD0117103"]}],"id":[{"id":"10.13039\/501100018537","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272364"],"award-info":[{"award-number":["62272364"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"provincial Key Research and Development Program of Shaanxi","award":["2024GH-ZDXM-47"],"award-info":[{"award-number":["2024GH-ZDXM-47"]}]},{"name":"Outstanding Youth Science Foundation of Shaanxi Province","award":["2025JC-JCQN-083"],"award-info":[{"award-number":["2025JC-JCQN-083"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/taffc.2025.3590246","type":"journal-article","created":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T17:59:45Z","timestamp":1752775185000},"page":"3122-3138","source":"Crossref","is-referenced-by-count":5,"title":["CAETFN: Context Adaptively Enhanced Text-Guided Fusion Network for Multimodal Sentiment Analysis"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-9289-936X","authenticated-orcid":false,"given":"Jiabao","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Xi&#x2019;an Key Laboratory of Big Data and Intelligent Vision, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6882-9566","authenticated-orcid":false,"given":"Ruyi","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi&#x2019;an Key Laboratory of Big Data and Intelligent Vision, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6766-8310","authenticated-orcid":false,"given":"Qiguang","family":"Miao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi&#x2019;an Key Laboratory of Big Data and Intelligent Vision, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8027-4287","authenticated-orcid":false,"given":"Di","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2751-6096","authenticated-orcid":false,"given":"Xiangzeng","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi&#x2019;an Key Laboratory of Big Data and Intelligent Vision, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2491019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3586075"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2878868"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3218018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413678"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1303"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3136755.3136801"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1115"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref12","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018"},{"key":"ref13","first-page":"5754","article-title":"XLNet: Generalized autoregressive pretraining for language understanding","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yang"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17289"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3183830"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3233070"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3082398"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109259"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-9119-8_18"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2009.01.003"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55394-8_1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-010-0001-0"},{"key":"ref23","first-page":"79","article-title":"Thumbs up? Sentiment classification using machine learning techniques","volume-title":"Proc. Conf. Empir. Methods Natural Lang. Process.","author":"Pang"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2022.02.025"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-30671-1_6"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2814818"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32236-6_7"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CONIT59222.2023.10205600"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112782"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s42761-023-00191-4"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3105371"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2017.01.011"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.3031835"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3125972"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3431640"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6853739"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2014.2339834"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178872"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-2217"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461750"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2023.102974"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128177"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2024.3369726"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3369130"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107626"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110372"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3428607"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112826"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.09.025"},{"key":"ref50","first-page":"1","article-title":"Learning factorized multimodal representations","volume-title":"Proc. Int. Conf. Learn. Representation","author":"Tsai"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0055"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1081"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-25207-0_14"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3204940"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.214"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.127181"},{"key":"ref57","article-title":"Mamba: Linear-time sequence modeling with selective state spaces","author":"Gu","year":"2023"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2025.03.021"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.02307"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-95-3459-3_37"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.567"},{"key":"ref62","article-title":"RoBERTa: A robustly optimized bert pretraining approach","author":"Liu","year":"2019"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.332"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358028"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1356"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.111346"},{"key":"ref67","article-title":"Efficiently modeling long sequences with structured state spaces","author":"Gu"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.11.022"},{"key":"ref69","article-title":"Gaussian error linear units (GELUs)","author":"Hendrycks","year":"2016"},{"key":"ref70","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"Hinton","year":"2012"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3303711"},{"key":"ref72","article-title":"MOSI: Multimodal corpus of sentiment intensity and subjectivity analysis in online opinion videos","author":"Zadeh","year":"2016"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1208"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.127201"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2024.3423671"},{"key":"ref76","article-title":"Efficient estimation of word representations in vector space","author":"Mikolov","year":"2013"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1656"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1177\/1754073916667236"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1145\/3607865.3613180"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5165369\/11269911\/11082658.pdf?arnumber=11082658","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T18:58:48Z","timestamp":1764269928000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11082658\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":80,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2025.3590246","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}