{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T16:04:45Z","timestamp":1788019485290,"version":"build-2784847793"},"reference-count":184,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","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\/501100005623","name":"University of Tokushima","doi-asserted-by":"publisher","award":["2003002"],"award-info":[{"award-number":["2003002"]}],"id":[{"id":"10.13039\/501100005623","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSFC-Shenzhen Joint Foundation Key Project","award":["U1613217"],"award-info":[{"award-number":["U1613217"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2023,1,1]]},"DOI":"10.1109\/taffc.2021.3053275","type":"journal-article","created":{"date-parts":[[2021,1,21]],"date-time":"2021-01-21T16:14:28Z","timestamp":1611245668000},"page":"49-67","source":"Crossref","is-referenced-by-count":155,"title":["A Survey of Textual Emotion Recognition and Its Challenges"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0602-8250","authenticated-orcid":false,"given":"Jiawen","family":"Deng","sequence":"first","affiliation":[{"name":"Faculty of Engineering, Tokushima University, Tokushima, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4860-9184","authenticated-orcid":false,"given":"Fuji","family":"Ren","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Tokushima University, Tokushima, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S19-2005"},{"key":"ref2","first-page":"986","article-title":"Dailydialog: A manually labelled multi-turn dialogue dataset","volume-title":"Proc. 8th Int. Joint Conf. Natural Lang. Process.","author":"Li"},{"key":"ref3","first-page":"44","article-title":"Emotion detection on TV show transcripts with sequence-based convolutional neural networks","volume-title":"Proc. Workshops 32th AAAI Conf. Artif. Intell.","author":"Zahiri"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-018-0505-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2013.22"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2017.7510421"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1126\/science.1202775"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9190"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2014.2317187"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3057270"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622019300015"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2925059"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.asej.2017.04.007"},{"key":"ref14","article-title":"Emotion detection in text: A review","author":"Seyeditabari","year":"2018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-020-01449-0"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10772-018-9491-z"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/s18020401"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2890471"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2890636"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2019.102447"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2019.102423"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929050"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordhb\/9780199942237.013.022"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2016.31"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2015.2459683"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112851"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/COMSNETS.2014.6734907"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-162126"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2674683.2674699"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1080\/02699939208411068"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1511\/2001.28.344"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3115\/1621474.1621487"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99501-4_39"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220648"},{"key":"ref35","article-title":"Emotionlines: An emotion corpus of multi-party conversations","author":"Chen","year":"2018"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1050"},{"key":"ref37","first-page":"1083","article-title":"Wordnet-affect: An affective extension of wordnet","volume-title":"Proc. 4th Int. Conf. Lang. Resour. Eval.","author":"Strapparava"},{"key":"ref38","first-page":"3562","article-title":"SentiSense: An easily scalable concept-based affective lexicon for sentiment analysis","volume-title":"Proc. 8th Int. Conf. Lang. Resour. Eval.","author":"Albornoz"},{"key":"ref39","first-page":"26","article-title":"Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon","author":"Mohammad","year":"2010","journal-title":"Proc. NAACL HLT 2010 Workshop Comput. Approaches Anal. Gener. Emotion Text"},{"key":"ref40","volume-title":"The Development and Psychometric Properties of LIWC2015","author":"Pennebaker","year":"2015"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-2005"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-5205"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2010.02.002"},{"issue":"1","key":"ref44","first-page":"105","article-title":"Sentence emotion analysis and recognition based on emotion words using Ren-CECps","volume":"2","author":"Quan","year":"2010","journal-title":"Int. J. Adv. Intell."},{"key":"ref45","first-page":"174","article-title":"Word affect intensities","volume-title":"Proc. 11th Int. Conf. Lang. Resour. Eval.","author":"Mohammad"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2934444"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/bf02686918"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2008.2004911"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1037\/h0077714"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.20"},{"key":"ref51","volume-title":"Affective norms for english words, ANEW: instruction manual and affective ratings","author":"Bradley","year":"1999"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p18-1017"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11559"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.2992799"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-008-9076-6"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-2092"},{"issue":"12","key":"ref57","first-page":"2142","article-title":"A survey of dimensional emotion prediction by multimodal cues","volume":"44","author":"Li","year":"2018","journal-title":"Acta Automaica Sinica"},{"key":"ref58","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"Mikolov","year":"2013","journal-title":"Proc. 26th Int. Conf. Neural Inf. Process. Syst."},{"key":"ref59","article-title":"Efficient estimation of word representations in vector space","author":"Mikolov","year":"2013"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.11259"},{"key":"ref62","first-page":"6294","article-title":"Learned in translation: Contextualized word vectors","author":"McCann","year":"2017","journal-title":"Proc. Int. Conf. Neural Inf. Process. Syst."},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref64","article-title":"Improving language understanding by generative pre-training","author":"Radford"},{"key":"ref65","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc. NAACL-HLT","author":"Devlin"},{"issue":"8","key":"ref66","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019"},{"key":"ref67","article-title":"Language models are few-shot learners","author":"Brown","year":"2020"},{"key":"ref68","article-title":"","author":"Dai","year":"2019"},{"key":"ref69","first-page":"1","article-title":"XLNet: Generalized autoregressive pretraining for language understanding","author":"Yang","year":"2019","journal-title":"Proc. 33rd Conf. Neural Inf. Process. Syst."},{"key":"ref70","article-title":"Mass: Masked sequence to sequence pre-training for language generation","author":"Song","year":"2019"},{"key":"ref71","first-page":"1","article-title":"","author":"Dong","year":"2019","journal-title":"Proc. 33rd Conf. Neural Inf. Process. Syst."},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-6243"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-6208"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1169"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1146"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1232"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S19-2021"},{"key":"ref78","doi-asserted-by":"crossref","first-page":"440","DOI":"10.18653\/v1\/P18-1041","article-title":"","author":"Shen","year":"2018","journal-title":"Proc. 56th Annu. Meeting Assoc. Comput. Linguistics"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1081"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d16-1021"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-6208"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1067"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.12.053"},{"key":"ref85","first-page":"5998","article-title":"","author":"Vaswani","year":"2017","journal-title":"Proc. Int. Conf. Neural Inf. Process. Syst."},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2017.0-134"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n16-1174"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1150"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.06.050"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-5541"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1043"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-5207"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2016.01.012"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-017-0734-0"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2014.10.004"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.3390\/app8122472"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d18-1147"},{"key":"ref98","article-title":"A Multi-task ensemble framework for emotion, sentiment and intensity prediction","author":"Akhtar","year":"2018"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S19-2045"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1016"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2041"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1037"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2018.12.029"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-2068"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545379"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1088"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-69456-6_14"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1504\/IJCVR.2019.102286"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1154"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8461414"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref112","article-title":"Transfer learning from lda to bilstm-cnn for offensive language detection in twitter","author":"Wiedemann","year":"2018"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2018.09.002"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-6209"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1137"},{"key":"ref116","first-page":"1","article-title":"Offline bilingual word vectors, orthogonal transformations and the inverted softmax","author":"Smith","year":"2017","journal-title":"Proc. 5th Int. Conf. Learn. Representations"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2897093"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2916092"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609587"},{"key":"ref120","article-title":"An overview of multi-task learning in deep neural networks","author":"Ruder","year":"2017"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"ref122","article-title":"The natural language decathlon: Multitask learning as question answering","author":"McCann","year":"2018"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080702"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05710-7_19"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2507830"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2916040"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S19-2006"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S19-2057"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/639"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1045"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1172"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1007\/s13748-016-0094-0"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.07.011"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93040-4_28"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1670"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-09823-4_45"},{"key":"ref138","first-page":"1149","article-title":"EmoTweet-28: A finegrained emotion corpus for sentiment analysis","author":"Liew","year":"2016","journal-title":"Proc. Tenth Int. Conf. Lang. Resour. Eval."},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1001"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2015.2457915"},{"key":"ref141","first-page":"246","article-title":"# emotional tweets","author":"Mohammad","year":"2012","journal-title":"Proc. 1st Joint Conf. Lexical Comput. Semantics"},{"key":"ref142","first-page":"56","article-title":"Influence of pre-annotation on POS-tagged corpus development","author":"Fort","year":"2010","journal-title":"Proc. 4th Linguistic Annotation Workshop"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2013-001837"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2927564"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.3034215"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.08.036"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16354-3_5"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74958-5_38"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.3390\/app9061123"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1019"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2807817"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1052"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-99495-6_21"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.10.035"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2885304"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.162"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10769"},{"key":"ref158","first-page":"1","article-title":"Deep correlation structure preserved label space embedding for multi-label classification","volume":"95","author":"Wang","year":"2018","journal-title":"Proc. Asian Conf. Mach. Learn."},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.08.018"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016916"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1052"},{"key":"ref162","first-page":"3915","article-title":"SGM: sequence generation model for multi-label classification","author":"Yang","year":"2018","journal-title":"Proc. 27th Int. Conf. Comput. Linguistics"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.11.074"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-017-7031-7"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.1145\/3129340"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.04.056"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2798607"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.07.007"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2930605"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2936198"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2901456"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2712143"},{"key":"ref173","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2019.2922912"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.02.112"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806493"},{"key":"ref176","first-page":"312","article-title":"SNU_IDS at semeval-2019 task 3: Addressing training-test class distribution mismatch in conversational classification","author":"Sanghwan","year":"2019","journal-title":"Proc. 13th Int. Workshop Semantic Eval."},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016818"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d18-1280"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298878"},{"issue":"9","key":"ref180","first-page":"123","article-title":"Text-based emotion transformation analysis","volume":"33","author":"Yang","year":"2011","journal-title":"Comput. Eng. Sci."},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2011.6022189"},{"key":"ref182","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.04.001"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2018.05.008"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1193"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/10056372\/09330790.pdf?arnumber=9330790","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T18:55:23Z","timestamp":1704826523000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9330790\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,1]]},"references-count":184,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2021.3053275","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,1]]}}}