{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T05:36:54Z","timestamp":1782365814116,"version":"3.54.5"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Dean&#x0027;s Research Fund","award":["FLASS\/DRF\/IDS-3"],"award-info":[{"award-number":["FLASS\/DRF\/IDS-3"]}]},{"name":"Departmental Collaborative Research Fund","award":["MIT\/DCRF-R2\/18-19"],"award-info":[{"award-number":["MIT\/DCRF-R2\/18-19"]}]},{"name":"The Education University of Hong Kong"},{"name":"HKIBS Research Seed Fund","award":["190-009"],"award-info":[{"award-number":["190-009"]}]},{"name":"Lingnan University, Hong Kong"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2022,7,1]]},"DOI":"10.1109\/taffc.2020.2997769","type":"journal-article","created":{"date-parts":[[2020,5,28]],"date-time":"2020-05-28T20:47:23Z","timestamp":1590698843000},"page":"1337-1348","source":"Crossref","is-referenced-by-count":55,"title":["Lexicon-Based Sentiment Convolutional Neural Networks for Online Review Analysis"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0681-6089","authenticated-orcid":false,"given":"Minghui","family":"Huang","sequence":"first","affiliation":[{"name":"Yat-sen University, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0965-3617","authenticated-orcid":false,"given":"Haoran","family":"Xie","sequence":"additional","affiliation":[{"name":"Lingnan University, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1610-9599","authenticated-orcid":false,"given":"Yanghui","family":"Rao","sequence":"additional","affiliation":[{"name":"Yat-sen University, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuwei","family":"Liu","sequence":"additional","affiliation":[{"name":"Yat-sen University, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8394-1492","authenticated-orcid":false,"given":"Leonard K. M.","family":"Poon","sequence":"additional","affiliation":[{"name":"The Education University of Hong Kong, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3976-0053","authenticated-orcid":false,"given":"Fu Lee","family":"Wang","sequence":"additional","affiliation":[{"name":"The Open University of Hong Kong, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000011"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2200\/s00416ed1v01y201204hlt016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014073"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1341531.1341561"},{"key":"ref5","first-page":"607","article-title":"Unsupervised sentiment analysis with emotional signals","volume-title":"Proc. Int. World Wide Web Conf.","author":"Xia"},{"key":"ref6","first-page":"2200","article-title":"Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining","volume-title":"Proc. Int. Conf. Lang. Resour. Eval.","author":"Baccianella"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3115\/1118693.1118704"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref9","first-page":"69","article-title":"Deep convolutional neural networks for sentiment analysis of short texts","volume-title":"Proc. Int. Conf. Comput. Linguistics","author":"Santos"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/p14-1062"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/N15-1011"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1150"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/d15-1167"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W17-5220"},{"key":"ref15","first-page":"321","article-title":"NRC-Canada: Building the state-of-the-art in sentiment analysis of tweets","volume-title":"Proc. Int. Workshop Semantic Eval.","author":"Mohammad"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3115\/1220355.1220500"},{"key":"ref17","first-page":"312","article-title":"Chinese sentence-level sentiment classification based on fuzzy sets","volume-title":"Proc. Int. Conf. Comput. Linguistics","author":"Fu"},{"key":"ref18","first-page":"119","article-title":"Classification algorithm of chinese sentiment orientation based on dictionary and LSTM","volume-title":"Proc. Int. Conf. Big Data Res.","author":"Ge"},{"key":"ref19","first-page":"2204","article-title":"Recurrent models of visual attention","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Mnih"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045336"},{"key":"ref21","first-page":"3545","article-title":"Deep networks with internal selective attention through feedback connections","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Stollenga"},{"key":"ref22","first-page":"577","article-title":"Attention-based models for speech recognition","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Chorowski"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref24","first-page":"1693","article-title":"Teaching machines to read and comprehend","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Hermann"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1169"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00097"},{"key":"ref27","first-page":"536","article-title":"Sentence modeling with deep neural architecture using lexicon and character attention mechanism for sentiment classification","volume-title":"Proc. Int. Joint Conf. Natural Lang. Process.","author":"Nguyen"},{"key":"ref28","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Mikolov"},{"issue":"1","key":"ref29","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref30","first-page":"2377","article-title":"Training very deep networks","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Srivastava"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10362"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219855"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783380"},{"key":"ref34","first-page":"807","article-title":"A structured self-attentive sentence embedding","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Lin"},{"key":"ref35","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","volume-title":"Proc. USENIX Symp. Operating Syst. Des. Implementation","author":"Abadi"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104425"},{"key":"ref37","article-title":"Adadelta: An adaptive learning rate method","author":"Zeiler","year":"2012"},{"key":"ref38","first-page":"432","article-title":"Structured models for fine-to-coarse sentiment analysis","volume-title":"Proc. Annu. Meeting Assoc. Comput. Linguistics","author":"McDonald"},{"key":"ref39","first-page":"43","article-title":"The effect of negators, modals, and degree adverbs on sentiment composition","volume-title":"Proc. Workshop Comput. Approaches Subjectivity Sentiment Social Media Anal.","author":"Svetlana"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1146"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210128"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3186922"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1154"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/9874971\/09103040.pdf?arnumber=9103040","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T22:40:54Z","timestamp":1704840054000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9103040\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,1]]},"references-count":43,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2020.2997769","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,1]]}}}