{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T07:05:23Z","timestamp":1775113523181,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["62072354"],"award-info":[{"award-number":["62072354"]}],"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":["61972302"],"award-info":[{"award-number":["61972302"]}],"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":["61876146"],"award-info":[{"award-number":["61876146"]}],"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":["62072355"],"award-info":[{"award-number":["62072355"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Program of Shannxi Province","award":["2022GY-057"],"award-info":[{"award-number":["2022GY-057"]}]},{"name":"Key Research and Development Program of Shannxi Province","award":["2019ZDLGY13-01"],"award-info":[{"award-number":["2019ZDLGY13-01"]}]},{"name":"Key Research and Development Program of Shannxi Province","award":["2021GY-086"],"award-info":[{"award-number":["2021GY-086"]}]},{"name":"Key Research and Development Program of Shannxi Province","award":["2021GY-014"],"award-info":[{"award-number":["2021GY-014"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["JB210305"],"award-info":[{"award-number":["JB210305"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["RW210419"],"award-info":[{"award-number":["RW210419"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Youth Innovation Team of Shaanxi Universities"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tmm.2022.3183830","type":"journal-article","created":{"date-parts":[[2022,6,16]],"date-time":"2022-06-16T19:31:26Z","timestamp":1655407886000},"page":"4909-4921","source":"Crossref","is-referenced-by-count":110,"title":["Cross-Modal Enhancement Network for Multimodal Sentiment Analysis"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8027-4287","authenticated-orcid":false,"given":"Di","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, the School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5002-4754","authenticated-orcid":false,"given":"Shuai","family":"Liu","sequence":"additional","affiliation":[{"name":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6913-8604","authenticated-orcid":false,"given":"Quan","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, the School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2131-6456","authenticated-orcid":false,"given":"Yumin","family":"Tian","sequence":"additional","affiliation":[{"name":"Key Laboratory of Smart Human-Computer Interaction and Wearable Technology of Shaanxi Province, the School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0555-3574","authenticated-orcid":false,"given":"Lihuo","family":"He","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1443-0776","authenticated-orcid":false,"given":"Xinbo","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5120\/ijca2016911545"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3115\/1218955.1218990"},{"key":"ref15","first-page":"79","article-title":"Thumbs up? Sentiment classification using machine learning techniques","author":"pang","year":"0","journal-title":"Proc 2002 Conf Empirical Methods Natural Lang Process"},{"key":"ref14","article-title":"MOSI: Multimodal corpus of sentiment intensity and subjectivity analysis in online opinion videos","author":"zadeh","year":"2016"},{"key":"ref53","article-title":"Py-feat: Python facial expression analysis toolbox","author":"cheong","year":"2021"},{"key":"ref52","first-page":"2200","article-title":"SentiwordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining","author":"baccianella","year":"0","journal-title":"Proc 7th Int Conf Lang Resour Eval"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1656"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12024"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ISPDC.2016.39"},{"key":"ref19","first-page":"1631","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank","author":"socher","year":"0","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1080"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3115\/1073445.1073478"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00756"},{"key":"ref46","article-title":"Factorized multimodal transformer for multimodal sequential learning","author":"zadeh","year":"2019"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33017216"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413690"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0055"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1303"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1209"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1115"},{"key":"ref49","article-title":"Improving language understanding by generative pre-training","author":"radford","year":"2018","journal-title":"OpenAir"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.214"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17289"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6853739"},{"key":"ref4","first-page":"5753","article-title":"XLNet: Generalized autoregressive pretraining for language understanding","author":"yang","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref3","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6431"},{"key":"ref5","article-title":"RoBERta: A robustly optimized BERT pretraining approach","author":"liu","year":"2019"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2007-612"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2008-192"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CCWC47524.2020.9031207"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-917"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISM.2016.0081"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2803520"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.10.011"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.247"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413678"},{"key":"ref1","first-page":"2236","article-title":"Multimodal language analysis in the wild: Cmu-mosei dataset and interpretable dynamic fusion graph","author":"zadeh","year":"0","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2594"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462677"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.341"},{"key":"ref23","first-page":"1725","article-title":"Dombert: Domain-oriented language model for aspect-based sentiment analysis","author":"hu","year":"0","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/INFOP.2015.7489424"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.567"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240533"},{"key":"ref22","first-page":"2324","article-title":"Bert post-training for review reading comprehension and aspect-based sentiment analysis","author":"xu","year":"2019","journal-title":"Proc Hum Lang Technol Conf North Amer Chapter Assoc Comput Linguistics"},{"key":"ref21","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2017.01.011"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2813524.2813530"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9179"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10016790\/09797846.pdf?arnumber=9797846","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T20:02:45Z","timestamp":1701115365000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9797846\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/tmm.2022.3183830","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}