{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T17:12:10Z","timestamp":1772644330541,"version":"3.50.1"},"reference-count":93,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/taffc.2023.3270115","type":"journal-article","created":{"date-parts":[[2023,4,25]],"date-time":"2023-04-25T18:23:10Z","timestamp":1682446990000},"page":"254-272","source":"Crossref","is-referenced-by-count":14,"title":["The Role of Preprocessing for Word Representation Learning in Affective Tasks"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1943-8689","authenticated-orcid":false,"given":"Nastaran","family":"Babanejad","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, York Univesity, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9603-9625","authenticated-orcid":false,"given":"Heidar","family":"Davoudi","sequence":"additional","affiliation":[{"name":"Faculty of Science, Ontario Tech University, Oshawa, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ameeta","family":"Agrawal","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Portland State University, Portland, OR, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1765-5751","authenticated-orcid":false,"given":"Aijun","family":"An","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, York Univesity, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0138-2541","authenticated-orcid":false,"given":"Manos","family":"Papagelis","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, York Univesity, Toronto, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742760"},{"key":"ref2","article-title":"Leveraging emotion features in news recommendations","volume-title":"Proc. 7th Int. Workshop News Recommendation Analytics Conjunction","author":"Babanejad"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2017.59"},{"key":"ref4","article-title":"Efficient estimation of word representations in vector space","author":"Mikolov","year":"2013"},{"key":"ref5","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018"},{"key":"ref6","first-page":"1218","article-title":"A robustly optimized BERT pre-training approach with post-training","volume-title":"Proc. 20th Chin. Nat. Conf. Comput. Linguistics","author":"Zhuang"},{"key":"ref7","first-page":"1555","article-title":"Learning sentiment-specific word embedding for twitter sentiment classification","volume-title":"Proc. 52nd Annu. Meeting Assoc. Comput. Linguistics","volume":"1","author":"Tang"},{"key":"ref8","first-page":"1579","article-title":"Selective co-occurrences for word-emotion association","volume-title":"Proc. 26th Int. Conf. Comput. Linguistics: Tech. Papers","author":"Agrawal"},{"key":"ref9","first-page":"950","article-title":"Learning emotion-enriched word representations","volume-title":"Proc. 27th Int. Conf. Comput. Linguistics","author":"Agrawal"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/n15-1184"},{"key":"ref11","first-page":"292","article-title":"Emo2Vec: Learning generalized emotion representation by multi-task training","volume-title":"Proc. 9th Workshop Comput. Approaches Subjectivity","author":"Xu"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1169"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210148"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00134"},{"key":"ref15","first-page":"284","article-title":"Redefining context windows for word embedding models: An experimental study","volume-title":"Proc. 21st Nordic Conf. Comput. Linguistics","author":"Lison"},{"key":"ref16","first-page":"53","article-title":"Feeler: Emotion classification of text using vector space model","volume-title":"Proc. Symp. Affect. Lang. Hum. Mach.","author":"Danisman"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.7763\/IJCEE.2013.V5.651"},{"key":"ref18","first-page":"5799","article-title":"A comprehensive analysis of preprocessing for word representation learning in affective tasks","volume-title":"Proc. 58th Annu. Meeting Assoc. Comput. Linguistics","author":"Babanejad"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2017.4531228"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10144-1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2022.3230975"},{"key":"ref23","first-page":"4746","article-title":"Perceived and intended sarcasm detection with graph attention networks","volume-title":"Proc. Findings Assoc. Comput. Linguistics","author":"Plepi"},{"key":"ref24","first-page":"119","article-title":"The Heart and Soul of the Web?","volume-title":"Sentiment Strength Detection in the Social Web with SentiStrength","author":"Thelwall","year":"2017"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1569"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1464"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107643"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.144"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2022.3202831"},{"key":"ref30","first-page":"4709","article-title":"Unsupervised learning of object landmarks via self-training correspondence","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Mallis"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.3"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-08754-7_69"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i11.26541"},{"key":"ref34","first-page":"3829","article-title":"SenticNet 7: A commonsense-based neurosymbolic ai framework for explainable sentiment analysis","volume-title":"Proc. 13th Lang. Resour. Eval. Conf.","author":"Cambria"},{"key":"ref35","first-page":"810","article-title":"On stopwords, filtering and data sparsity for sentiment analysis of twitter","volume-title":"Proc. 9th Int. Conf. Lang. Resour. Eval.","author":"Saif"},{"key":"ref36","article-title":"A comparison between preprocessing techniques for sentiment analysis in twitter","volume-title":"Proc. 2nd Int. Workshop Knowl. Discov. WEB","author":"Angiani"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.06.022"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2672677"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1504\/IJDATS.2018.095216"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-7166-0_42"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1019"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/WI-IAT.2012.170"},{"key":"ref43","article-title":"The impact of intensifiers, diminishers and negations on emotion expressions","author":"Strohm","year":"2017"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-6231"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-6235"},{"key":"ref46","first-page":"349","article-title":"Automatic sentiment analysis in on-line text","volume-title":"Proc. 11th Int. Conf. Electron. Publishing","author":"Boiy"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-1024"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-2009"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1118"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-2050"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1162\/coli_a_00391"},{"key":"ref52","first-page":"740","article-title":"A fast and accurate dependency parser using neural networks","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Chen"},{"key":"ref53","first-page":"1923","article-title":"A joint many-task model: Growing a neural network for multiple NLP tasks","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Hashimoto"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-2922"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w18-5406"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2013.05.005"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1002\/asi.22859"},{"key":"ref58","first-page":"186","article-title":"The role of conversation context for sarcasm detection in online interactions","volume-title":"Proc. 18th Annu. SIGdial Meeting Discourse Dialogue","author":"Ghosh"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1177\/0261927x12446596"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401183"},{"key":"ref61","first-page":"704","article-title":"Sarcasm as contrast between a positive sentiment and negative situation","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Riloff"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICEMIS.2017.8272990"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2594194"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCONS.2017.8250536"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/WI-IAT.2012.170"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1177\/1754073913491843"},{"issue":"1","key":"ref67","first-page":"76","article-title":"Prior and contextual emotion of words in sentential context","volume-title":"Comput. Speech Lang.","volume":"28","author":"Ghazi","year":"2014"},{"key":"ref68","first-page":"231","article-title":"ECNU at SemEval-2018 task 1: Emotion intensity prediction using effective features and machine learning models","volume-title":"Proc. 12th Int. Workshop Semantic Eval.","author":"Xu"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.07.028"},{"key":"ref70","first-page":"10","article-title":"How do negation and modality impact on opinions?","volume-title":"Proc. Workshop Extra-Propositional Aspects Meaning Comput. Linguistics","author":"Benamara"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"ref72","first-page":"1289","article-title":"An extensive empirical study of feature selection metrics for text classification","volume":"3","author":"Forman","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2013.08.006"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220648"},{"key":"ref75","first-page":"123","article-title":"LT3 at SemEval-2018 task 1: A classifier chain to detect emotions in tweets","volume-title":"Proc. 12th Int. Workshop Semantic Eval.","author":"De Bruyne"},{"key":"ref76","first-page":"324","article-title":"SSN MLRG1 at SemEval-2018 task 1: Emotion and sentiment intensity detection using rule based feature selection","volume-title":"Proc. 12th Int. Workshop Semantic Eval.","author":"Rajalakshmi"},{"key":"ref77","first-page":"264","article-title":"PlusEmo2Vec at SemEval-2018 task 1: Exploiting emotion knowledge from emoji and #hashtags","volume-title":"Proc. 12th Int. Workshop Semantic Eval.","author":"Park"},{"key":"ref78","article-title":"A semantic approach to automated text sentiment analysis","author":"Brooke","year":"2009"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00051"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1202"},{"key":"ref82","first-page":"142","article-title":"Learning word vectors for sentiment analysis","volume-title":"Proc. 49th Annu. Meeting Assoc. Comput. Linguistics: Hum. Lang. Technol.","author":"Maas"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S16-1001"},{"key":"ref84","first-page":"31","article-title":"Creating and characterizing a diverse corpus of sarcasm in dialogue","volume-title":"Proc. 17th Annu. Meeting Special Int. Group Discourse Dialogue","author":"Oraby"},{"key":"ref85","article-title":"Sarcasm detection using hybrid neural network","author":"Misra","year":"2019"},{"key":"ref86","article-title":"A large self-annotated corpus for sarcasm","author":"Khodak","year":"2017"},{"key":"ref87","volume-title":"Affect in Text and Speech","author":"Alm","year":"2011"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1177\/053901886025004001"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-5203"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1145\/3003433"},{"key":"ref91","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref92","first-page":"1631","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Socher"},{"key":"ref93","first-page":"5162","article-title":"Journalistic guidelines aware news image captioning","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Yang"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/10454109\/10108017.pdf?arnumber=10108017","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T03:32:31Z","timestamp":1709263951000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10108017\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":93,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2023.3270115","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]}}}