{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:04:27Z","timestamp":1775228667863,"version":"3.50.1"},"reference-count":253,"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\/501100001348","name":"Agency for Science, Technology and Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001348","id-type":"DOI","asserted-by":"publisher"}]},{"name":"RIE 2020 Advanced Manufacturing and Engineering","award":["A19E2b0098"],"award-info":[{"award-number":["A19E2b0098"]}]},{"name":"K-EMERGE: Knowledge Extraction, Modelling, and Explainable Reasoning for General Expertise"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2023,1,1]]},"DOI":"10.1109\/taffc.2020.3038167","type":"journal-article","created":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T21:13:27Z","timestamp":1605561207000},"page":"108-132","source":"Crossref","is-referenced-by-count":200,"title":["Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6924-7931","authenticated-orcid":false,"given":"Soujanya","family":"Poria","sequence":"first","affiliation":[{"name":"Information Systems Technology and Design, Singapore University of Technology and Design, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0241-7163","authenticated-orcid":false,"given":"Devamanyu","family":"Hazarika","sequence":"additional","affiliation":[{"name":"School of Computing, National University of Singapore, Singapore"}]},{"given":"Navonil","family":"Majumder","sequence":"additional","affiliation":[{"name":"Information Systems Technology and Design, Singapore University of Technology and Design, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0767-6703","authenticated-orcid":false,"given":"Rada","family":"Mihalcea","sequence":"additional","affiliation":[{"name":"Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1099"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-76941-7_12"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-5544"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37256-8_4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v9i1.14655"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-3805"},{"key":"ref7","first-page":"1137","article-title":"A neural probabilistic language model","volume":"3","author":"Bengio","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2063635"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-021-09881-2"},{"key":"ref10","first-page":"440","article-title":"Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification","volume-title":"Proc. 45th Annu. Meeting Assoc. Comput. Linguistics","author":"Blitzer"},{"key":"ref11","first-page":"4349","article-title":"Man is to computer programmer as woman is to homemaker? debiasing word embeddings","volume-title":"Proc. Advances Neural Inf. Process. Syst.","author":"Bolukbasi"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1470"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/01638530903531972"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-008-9076-6"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1126\/science.aal4230"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2017.4531228"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412003"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1455"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.711"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2007.11.003"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00039"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-2063"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3115\/1613715.1613816"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/1610075.1610136"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2734085"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511620539","volume-title":"Using Language","author":"Clark","year":"1996"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2145204.2145265"},{"key":"ref28","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"Collobert","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref29","first-page":"3079","article-title":"Semi-supervised sequence learning","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Dai"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-016-9421-9"},{"key":"ref31","first-page":"107","article-title":"Semi-supervised recognition of sarcastic sentences in twitter and amazon","volume-title":"Proc. 14th Conf. Comput. Natural Lang. Learn.","author":"Davidov"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/E14-1040"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1146"},{"key":"ref34","first-page":"79","article-title":"Joint inference and disambiguation of implicit sentiments via implicature constraints","volume-title":"Proc. 25th Int. Conf. Comput. Linguistics: Tech. Papers","author":"Deng"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/vl\/N19-142"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-1059"},{"key":"ref37","first-page":"572","volume-title":"Appraisal Processes in Emotion","author":"Ellsworth","year":"2003"},{"key":"ref38","first-page":"417","article-title":"SENTIWORDNET: A publicly available lexical resource for opinion mining","volume-title":"Proc. 5th Int. Conf. Lang. Resour. Eval.","author":"Esuli"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19390-8_38"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1630"},{"key":"ref41","first-page":"1850","article-title":"Comparing the level of code-switching in corpora","volume-title":"Proc. 10th Int. Conf. Lang. Resour. Eval.","author":"Gamb\u00e4ck"},{"issue":"59","key":"ref42","first-page":"1","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"Ganin","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.03.031"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2963389"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1116"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1162\/coli_a_00336"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1059"},{"key":"ref48","first-page":"513","article-title":"Domain adaptation for large-scale sentiment classification: A deep learning approach","volume-title":"Proc. 28th Int. Conf. Mach. Learn.","author":"Glorot"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1061"},{"key":"ref50","first-page":"581","article-title":"Identifying sarcasm in twitter: A closer look","volume-title":"Proc. 49th Annu. Meeting Assoc. Comput. Linguistics: Human Lang. Technol.","author":"Gonz\u00e1lez-Ib\u00e1\u00f1ez"},{"key":"ref51","first-page":"581","article-title":"Identifying sarcasm in twitter: A closer look","volume-title":"Proc. 49th Annu. Meeting Assoc. Comput. Linguistics: Human Lang. Technol.","author":"Gonz\u00e1lez-Ib\u00e1\u00f1ez"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3364908.3365288"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.68"},{"key":"ref54","first-page":"6228","article-title":"Minority positive sampling for switching points - an anecdote for the code-mixing language modelling","volume-title":"Proc. 12th Lang. Resour. Eval. Conf.","author":"Guptha"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIKE47802.2019.9004372"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d16-1057"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123383"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1211"},{"key":"ref59","first-page":"964","article-title":"Predicting and eliciting addressee\u2019s emotion in online dialogue","volume-title":"Proc. 51st Annu. Meeting Assoc. Comput. Linguistics","author":"Hasegawa"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3115\/976909.979640"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3115\/990820.990864"},{"key":"ref62","first-page":"1837","article-title":"CASCADE: Contextual sarcasm detection in online discussion forums","volume-title":"Proc. 27th Int. Conf. Comput. Linguistics","author":"Hazarika"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d18-1280"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2043"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1193"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413678"},{"key":"ref67","first-page":"123","article-title":"Automatically extracting polarity-bearing topics for cross-domain sentiment classification","volume-title":"Proc. 49th Annu. Meeting Assoc. Comput. Linguistics: Human Lang. Technol.","author":"He"},{"key":"ref68","first-page":"187","article-title":"Aspect-based sentiment analysis using BERT","volume-title":"Proc. 22nd Nordic Conf. Comput. Linguistics","author":"Hoang"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2096"},{"key":"ref70","first-page":"1120","article-title":"Learning whom to trust with MACE","volume-title":"Proc. Conf. North American Chapter Assoc. Comput. Linguistics: Human Lang. Technol.","author":"Hovy"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/0378-2166(87)90109-3"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1031"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"ref75","first-page":"1587","article-title":"Toward controlled generation of text","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Hu"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S19-2006"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.7"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v8i1.14550"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1080"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p19-1041"},{"key":"ref81","first-page":"526","article-title":"Supervised and semi-supervised text categorization using LSTM for region embeddings","volume-title":"Proc. 33nd Int. Conf. Mach. Learn.","author":"Johnson"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1037\/0096-3445.113.1.112"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-2124"},{"key":"ref84","first-page":"2482","article-title":"Towards sub-word level compositions for sentiment analysis of hindi-english code mixed text","volume-title":"Proc. 26th Int. Conf. Comput. Linguistics","author":"Joshi"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55394-8_5"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1145\/3124420"},{"key":"ref87","first-page":"2676","article-title":"Sarcasm target identification: Dataset and an introductory approach","volume-title":"Proc. 11th Int. Conf. Lang. Resour. Eval.","author":"Joshi"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1557"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1160"},{"key":"ref90","article-title":"Adversarial training for aspect-based sentiment analysis with BERT","author":"Karimi","year":"2020","journal-title":"CoRR"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24571-8_2"},{"key":"ref92","article-title":"Sentiment analysis of twitter data: A survey of techniques","author":"Kharde","year":"2016","journal-title":"CoRR"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-2905"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220555"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.3115\/1654641.1654642"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref97","first-page":"1157","article-title":"Happy accident: A sentiment composition lexicon for opposing polarity phrases","volume-title":"Proc. 10th Int. Conf. Lang. Resour. Eval.","author":"Kiritchenko"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-0410"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-2005"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1095"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1128"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1004"},{"key":"ref103","article-title":"An adversarial approach to high-quality, sentiment-controlled neural dialogue generation","author":"Kong","year":"2019"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v5i1.14185"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-017-1134-1"},{"key":"ref106","first-page":"100","article-title":"Opinion extraction, summarization and tracking in news and blog corpora","volume-title":"Proc. Symp. Comput. Approaches Analyzing Weblogs","author":"Ku"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00327"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1177\/0956797610372634"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-3823"},{"key":"ref110","first-page":"489","article-title":"Re-embedding words","volume-title":"Proc. 51st Annu. Meeting Assoc. Comput. Linguistics","author":"Labutov"},{"key":"ref111","first-page":"1","article-title":"Aspect specific sentiment analysis using hierarchical deep learning","volume-title":"Proc. Conf. Neural Inf. Process. Syst. Workshop Deep Learn. Representation Learn.","author":"Lakkaraju"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p19-2052"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1037\/0003-066X.37.9.1019"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.5555\/3044805.3045025"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11016"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55394-8_3"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1169"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016714"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1201\/9781420085938-36"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.2200\/s00416ed1v01y201204hlt016"},{"key":"ref121","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9781139084789","volume-title":"Sentiment Analysis - Mining Opinions, Sentiments, and Emotions","author":"Liu","year":"2015"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4_13"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2093"},{"key":"ref124","first-page":"1291","article-title":"Automated rule selection for aspect extraction in opinion mining","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Liu"},{"key":"ref125","article-title":"Roberta: A robustly optimized BERT pretraining approach","author":"Liu","year":"2020"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.3115\/1620932.1620945"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11955"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p19-1056"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12048"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.06.011"},{"key":"ref131","first-page":"142","article-title":"Learning word vectors for sentiment analysis","volume-title":"Proc. 49th Annu. Meeting Assoc. Comput. Linguistics: Human Lang. Technol.","author":"Maas"},{"key":"ref132","first-page":"496","article-title":"Personage: Personality generation for dialogue","volume-title":"Proc. 45th Annu. Meeting Assoc. Comput. Linguistics","author":"Mairesse"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33016818"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2019.2904691"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05287-7"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v3i1.13979"},{"key":"ref137","first-page":"4238","article-title":"Who cares about sarcastic tweets? investigating the impact of sarcasm on sentiment analysis","volume-title":"Proc. 9th Int. Conf. Lang. Resour. Eval.","author":"Maynard"},{"key":"ref138","first-page":"6294","article-title":"Learned in translation: Contextualized word vectors","volume-title":"Proc. Advances Neural Inf. Process. Syst.","author":"McCann"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242596"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v5i1.14163"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2010-343"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-4009"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1636"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0064417"},{"key":"ref146","first-page":"1","article-title":"Adversarial training methods for semi-supervised text classification","volume-title":"Proc. 5th Int. Conf. Learn. Representations","author":"Miyato"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871739"},{"key":"ref148","first-page":"26","article-title":"Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon","volume-title":"Proc. NAACL HLT Workshop Comput. Approaches Anal. Gener. Emotion Text","author":"Mohammad"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2012.00460.x"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-55394-8_4"},{"key":"ref151","first-page":"378","article-title":"Sentiment composition","volume-title":"Proc. Recent Advances Natural Lang. Process.","author":"Moilanen"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.07.059"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.07.059"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775098"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1016\/S0191-3085(00)22002-9"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/AITB48515.2019.8947435"},{"key":"ref157","first-page":"786","article-title":"Dependency tree-based sentiment classification using CRFs with hidden variables","volume-title":"Proc. Annu. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Human Lang. Technol.","author":"Nakagawa"},{"key":"ref158","first-page":"312","article-title":"Semeval-2013 task 2: Sentiment analysis in twitter","volume-title":"Proc. 7th Int. Workshop Semantic Eval.","author":"Nakov"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1145\/945645.945658"},{"key":"ref160","first-page":"469","article-title":"Mirroring facial expressions and emotions in dyadic conversations","volume-title":"Proc. 10th Int. Conf. Lang. Resour. Eval.","author":"Navarretta"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.118"},{"key":"ref162","article-title":"Emotionally-aware chatbots: A survey","author":"Pamungkas","year":"2019","journal-title":"CoRR"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772767"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.3115\/1218955.1218990"},{"key":"ref165","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"ref166","doi-asserted-by":"publisher","DOI":"10.1016\/j.intcom.2003.12.001"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1663"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1155"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1007\/1-4020-4102-0_1"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2004"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/s16-1002"},{"key":"ref173","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.06.009"},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1081"},{"key":"ref175","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1050"},{"key":"ref176","doi-asserted-by":"publisher","DOI":"10.1080\/08839510590910174"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1162\/coli_a_00034"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006119"},{"key":"ref179","article-title":"Learning to generate reviews and discovering sentiment","author":"Radford","year":"2018"},{"key":"ref180","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref181","first-page":"1089","article-title":"United we stand: Improving sentiment analysis by joining machine learning and rule based methods","volume-title":"Proc. 7th Int. Conf. Lang. Resour. Eval.","author":"Rentoumi"},{"key":"ref182","first-page":"704","article-title":"Sarcasm as contrast between a positive sentiment and negative situation","volume-title":"Proc. Conf. Empir. Methods Natural Lang. Process.","author":"Riloff"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00349"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2009"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S15-2078"},{"key":"ref186","article-title":"Is it great or terrible? preserving sentiment in neural machine translation of arabic reviews","author":"Saadany","year":"2020"},{"key":"ref187","first-page":"35","article-title":"Gender bias in pretrained Swedish embeddings","volume-title":"Proc. 22nd Nordic Conf. Comput. Linguistics","author":"Sahlgren"},{"key":"ref188","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2007"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2964321"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1089"},{"key":"ref191","first-page":"6830","article-title":"Style transfer from non-parallel text by cross-alignment","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Shen"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1232"},{"key":"ref193","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-2023"},{"key":"ref194","first-page":"1631","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank","volume-title":"Proc. Conf. Empir. Methods Natural Lang. Process.","author":"Socher"},{"key":"ref195","doi-asserted-by":"publisher","DOI":"10.21437\/ICSLP.2002-303"},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2012-65"},{"key":"ref197","doi-asserted-by":"publisher","DOI":"10.1162\/coli_a_00049"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1150"},{"key":"ref199","doi-asserted-by":"publisher","DOI":"10.1145\/2539150.2539190"},{"key":"ref200","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-00958-7_31"},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1146"},{"key":"ref202","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d15-1167"},{"key":"ref203","first-page":"3298","article-title":"Effective LSTMs for target-dependent sentiment classification","volume-title":"Proc. 26th Int. Conf. Comput. Linguistics: Technical Papers","author":"Tang"},{"key":"ref204","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d16-1021"},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132936"},{"key":"ref206","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1093"},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1381"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-2057"},{"key":"ref209","first-page":"2230","article-title":"Learning sentiment composition from sentiment lexicons","volume-title":"Proc. 27th Int. Conf. Comput. Linguistics","author":"Ronen"},{"key":"ref210","first-page":"1","article-title":"An operational system for detecting and tracking opinions in on-line discussion","volume-title":"Proc. Working Notes ACM SIGIR Workshop Oper. Text Classification","author":"Tong"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v4i1.14018"},{"key":"ref212","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073153"},{"key":"ref213","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref214","first-page":"777","article-title":"The viability of web-derived polarity lexicons","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Human Lang. Technol.","author":"Velikovich"},{"key":"ref215","first-page":"1815","article-title":"Exploring demographic language variations to improve multilingual sentiment analysis in social media","volume-title":"Proc. Conf. Empir. Methods Natural Lang. Process.","author":"Volkova"},{"key":"ref216","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-2904"},{"key":"ref217","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/618"},{"key":"ref218","first-page":"90","article-title":"Baselines and bigrams: Simple, good sentiment and topic classification","volume-title":"Proc. 50th Annu. Meeting Assoc. Comput. Linguistics","author":"Wang"},{"key":"ref219","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d16-1058"},{"key":"ref220","first-page":"735","article-title":"Learning subjective adjectives from corpora","volume-title":"Proc. 17th Nat. Conf. Artif. Intell. 12th Conf. Innovative Appl. Artif. Intell.","author":"Wiebe"},{"key":"ref221","doi-asserted-by":"publisher","DOI":"10.3115\/1220175.1220309"},{"issue":"2","key":"ref222","first-page":"233","article-title":"Tracking point of view in narrative","volume":"20","author":"Wiebe","year":"1994","journal-title":"Comput. Linguistics"},{"key":"ref223","doi-asserted-by":"publisher","DOI":"10.3115\/1034678.1034721"},{"key":"ref224","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K15-1022"},{"key":"ref225","doi-asserted-by":"publisher","DOI":"10.3115\/1225733.1225751"},{"key":"ref226","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220619"},{"key":"ref227","doi-asserted-by":"publisher","DOI":"10.1080\/10926488.2011.583197"},{"key":"ref228","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1029"},{"key":"ref229","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727602"},{"key":"ref230","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213891"},{"key":"ref231","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.31"},{"key":"ref232","article-title":"Unsupervised data augmentation for consistency training","author":"Xie","year":"2020"},{"key":"ref233","first-page":"1640","article-title":"Joint inference for fine-grained opinion extraction","volume-title":"Proc. 51st Annu. Meeting Assoc. Comput. Linguistics","author":"Yang"},{"key":"ref234","doi-asserted-by":"publisher","DOI":"10.3115\/1119355.1119372"},{"key":"ref235","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2016.94"},{"key":"ref236","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d17-1115"},{"key":"ref237","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12021"},{"key":"ref238","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1208"},{"key":"ref239","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12024"},{"key":"ref240","doi-asserted-by":"publisher","DOI":"10.1037\/0003-066X.35.2.151"},{"key":"ref241","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-3526"},{"key":"ref242","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1253"},{"key":"ref243","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1066"},{"key":"ref244","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.04.006"},{"key":"ref245","first-page":"649","article-title":"Character-level convolutional networks for text classification","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref246","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2871949"},{"key":"ref247","first-page":"8568","article-title":"Adversarial multiple source domain adaptation","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Zhao"},{"key":"ref248","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/n18-2003"},{"key":"ref249","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1521"},{"key":"ref250","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1064"},{"key":"ref251","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11325"},{"key":"ref252","article-title":"Learning from labeled and unlabeled data with label propagation","author":"Zhu","year":"2002"},{"key":"ref253","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1112"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/10056372\/09260964.pdf?arnumber=9260964","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:09:25Z","timestamp":1704841765000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9260964\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,1]]},"references-count":253,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2020.3038167","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]]}}}