{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T16:56:24Z","timestamp":1775235384550,"version":"3.50.1"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671803","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:39:16Z","timestamp":1642106356000},"page":"5143-5152","source":"Crossref","is-referenced-by-count":12,"title":["DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning"],"prefix":"10.1109","author":[{"given":"Maryam","family":"Hasan","sequence":"first","affiliation":[]},{"given":"Elke","family":"Rundensteiner","sequence":"additional","affiliation":[]},{"given":"Emmanuel","family":"Agu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"3079","article-title":"Semi-supervised sequence learning","author":"dai","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref38","first-page":"647","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"International Conference on Machine Learning"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.634"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICICS49469.2020.239539"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S19-2005"},{"key":"ref37","article-title":"Attention-based modeling for emotion detection and classification in textual conversations","author":"ragheb","year":"2019"},{"key":"ref36","first-page":"3294","article-title":"Skip-thought vectors","author":"kiros","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref35","article-title":"ALBERT: A lite BERT for self-supervised learning of language representations","author":"lan","year":"2019","journal-title":"CoRR"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-4302"},{"key":"ref10","article-title":"Parameter-efficient transfer learning for nlp","author":"houlsby","year":"2019"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1253"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-5004"},{"key":"ref12","volume":"1","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref13","article-title":"Universal sentence encoder","author":"cer","year":"2018","journal-title":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing"},{"key":"ref14","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics"},{"key":"ref15","article-title":"Sentence encoders on stilts: Supplementary training on intermediate labeled-data tasks","author":"phang","year":"2018"},{"key":"ref16","article-title":"Emotex: Detecting emotions in twitter messages","author":"hasan","year":"2014","journal-title":"Proceedings of the Sixth ASE International Conference on Social Computing (SocialCom 2014)"},{"key":"ref17","first-page":"215","article-title":"Context-sensitive twitter sentiment classification using neural network","author":"ren","year":"2016","journal-title":"AAAI"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1169"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2037"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00051"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2018.2840738"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3027350"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.3115\/v1\/D14-1162","article-title":"Glove: Global vectors for word representation","author":"pennington","year":"2014","journal-title":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)"},{"key":"ref29","article-title":"Emotionx-hsu: Adopting pre-trained bert for emotion classification","author":"luo","year":"2019"},{"key":"ref5","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1031"},{"key":"ref7","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-018-0096-z"},{"key":"ref9","first-page":"1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"raffel","year":"2020","journal-title":"Journal of Machine Learning Research"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-18117-2_12"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1169"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-5205"},{"key":"ref22","article-title":"A sentiment-and-semantics-based approach for emotion detection in textual conversations","author":"gupta","year":"2017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1137"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-5227"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1001"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3314183.3324983"},{"key":"ref41","article-title":"Using hashtags as labels for supervised learning of emotions in twitter messages","author":"hasan","year":"2014","journal-title":"Proceedings of the ACM SIGKDD Workshop on Healthcare Informatics HI-KDD"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-5206"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2934529"},{"key":"ref44","article-title":"Bert post-training for review reading comprehension and aspect-based sentiment analysis","author":"xu","year":"2019"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2018.09.002"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1037\/h0077714"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","location":"Orlando, FL, USA","start":{"date-parts":[[2021,12,15]]},"end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671803.pdf?arnumber=9671803","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:28Z","timestamp":1652201728000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671803\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671803","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}