{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T12:37:52Z","timestamp":1763037472946,"version":"3.37.3"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71932008"],"award-info":[{"award-number":["71932008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1109\/tnnls.2020.3006531","type":"journal-article","created":{"date-parts":[[2020,7,16]],"date-time":"2020-07-16T19:57:26Z","timestamp":1594929446000},"page":"2561-2572","source":"Crossref","is-referenced-by-count":24,"title":["SentiVec: Learning Sentiment-Context Vector via Kernel Optimization Function for Sentiment Analysis"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7422-7318","authenticated-orcid":false,"given":"Luyao","family":"Zhu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8077-7025","authenticated-orcid":false,"given":"Wei","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7974-1079","authenticated-orcid":false,"given":"Yong","family":"Shi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4787-8406","authenticated-orcid":false,"given":"Kun","family":"Guo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/503104.503110"},{"key":"ref38","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref33","first-page":"1","article-title":"Perceptrons in kernel feature spaces","author":"frieb","year":"1998"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1056"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-017-9492-2"},{"key":"ref30","first-page":"4808","article-title":"Learning sentiment-specific word embedding via global sentiment representation","author":"fu","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref37","first-page":"2200","article-title":"SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining","author":"baccianella","year":"2010","journal-title":"Proc 7th Int Conf Lang Resour Eval (LREC)"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/72.896793"},{"key":"ref35","first-page":"140","author":"vapnik","year":"1995","journal-title":"The Nature of Statistical Learning Theory"},{"key":"ref34","first-page":"301","article-title":"The kernel trick for distances","author":"sch\u00f6lkopf","year":"2001","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","first-page":"1795","article-title":"SenticNet 5: Discovering conceptual primitives for sentiment analysis by means of context embeddings","author":"cambria","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2487788.2488045"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1232"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1167"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2016.31"},{"key":"ref22","first-page":"2493","article-title":"Natural language processing (almost) from scratch","volume":"12","author":"collobert","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref24","first-page":"32","article-title":"AffectiveSpace: Blending common sense and affective knowledge to perform emotive reasoning","author":"cambria","year":"2009","journal-title":"Proc 1st Workshop Opinion Mining Sentiment Anal (WOMSA)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273577"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1146"},{"key":"ref25","first-page":"508","article-title":"AffectiveSpace 2: Enabling affective intuition for concept-level sentiment analysis","author":"cambria","year":"2015","journal-title":"Proc Nat Conf Artif Intell"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2010.08.024"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2011.01.003"},{"key":"ref56","first-page":"1631","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank","author":"socher","year":"2013","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106435"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1036"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219855"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2015.01.005"},{"key":"ref11","first-page":"142","article-title":"Learning word vectors for sentiment analysis","author":"maas","year":"2011","journal-title":"Proc 49th Annu Meeting Assoc Comput Linguistics Hum Lang Technol"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.07.022"},{"key":"ref12","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref13","first-page":"45","article-title":"Holistic sentiment analysis across languages: Multilingual supervised latent Dirichlet allocation","author":"boyd-graber","year":"2010","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref14","first-page":"1371","article-title":"Sentiment analysis with global topics and local dependency","author":"li","year":"2007","journal-title":"Proc 24th AAAI Conf Artif Intell"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646003"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2934"},{"key":"ref17","article-title":"Two step CCA: A new spectral method for estimating vector models of words","author":"dhillon","year":"2012","journal-title":"arXiv 1206 6403"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150436"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/E14-1051"},{"key":"ref4","first-page":"455","article-title":"Parsing with compositional vector grammars","volume":"1","author":"socher","year":"2013","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref3","first-page":"384","article-title":"Word representations: A simple and general method for semi-supervised learning","author":"turian","year":"2010","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref6","first-page":"1","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/860435.860445"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9"},{"key":"ref7","first-page":"238","article-title":"Don&#x2019;t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors","volume":"1","author":"baroni","year":"2014","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref49","first-page":"79","article-title":"Thumbs up? Sentiment classification using machine learning techniques","volume":"10","author":"pang","year":"2002","journal-title":"Proc ACL-Conf Empirical Methods Natural Lang Process (EMNLP)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1964858.1964866"},{"key":"ref46","first-page":"984","article-title":"Sentiment polarity identification in financial news: A cohesion-based approach","author":"devitt","year":"2007","journal-title":"Proc 45th Annu Meeting Assoc Comput Linguistics"},{"key":"ref45","first-page":"30","article-title":"Sentiment analysis of Twitter data","author":"agarwal","year":"2011","journal-title":"Proc Workshop Lang Social Media"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3115\/1218955.1218990"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2016.04.007"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.02.004"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1561\/1500000011"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2015.06.002"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2011.01.016"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9445711\/09142399.pdf?arnumber=9142399","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:15Z","timestamp":1652194395000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9142399\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6]]},"references-count":56,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2020.3006531","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"type":"print","value":"2162-237X"},{"type":"electronic","value":"2162-2388"}],"subject":[],"published":{"date-parts":[[2021,6]]}}}