{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:57:12Z","timestamp":1760709432908,"version":"3.37.3"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"FPI","award":["BES-2013-065950"],"award-info":[{"award-number":["BES-2013-065950"]}]},{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["EEBB-I-15-10108","EEBB-I-16-11174"],"award-info":[{"award-number":["EEBB-I-15-10108","EEBB-I-16-11174"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Spanish Government","award":["DIGITY ref. TIN2015-65136-C02-2-R","RESCATA ref. TIN2015-65100-R"],"award-info":[{"award-number":["DIGITY ref. TIN2015-65136-C02-2-R","RESCATA ref. TIN2015-65100-R"]}]},{"name":"Valencian Government","award":["PROMETEOII\/ 2014\/001"],"award-info":[{"award-number":["PROMETEOII\/ 2014\/001"]}]},{"DOI":"10.13039\/100009092","name":"Universidad de Alicante","doi-asserted-by":"publisher","award":["GRE16-01"],"award-info":[{"award-number":["GRE16-01"]}],"id":[{"id":"10.13039\/100009092","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007406","name":"Fundaci\u00f3n BBVA","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007406","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2020,4,1]]},"DOI":"10.1109\/taffc.2017.2764470","type":"journal-article","created":{"date-parts":[[2017,10,19]],"date-time":"2017-10-19T18:07:33Z","timestamp":1508436453000},"page":"335-347","source":"Crossref","is-referenced-by-count":22,"title":["Intensional Learning to Efficiently Build Up Automatically Annotated Emotion Corpora"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5018-5400","authenticated-orcid":false,"given":"Lea","family":"Canales","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9365-0242","authenticated-orcid":false,"given":"Carlo","family":"Strapparava","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ester","family":"Boldrini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4972-6083","authenticated-orcid":false,"given":"Patricio","family":"Martinez-Barco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","first-page":"751","article-title":"Pearson product-moment correlation coefficient","volume":"2","author":"leech","year":"2007","journal-title":"Encyclopedia of Measurement and Statistics N"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1177\/001316446002000104"},{"key":"ref71","first-page":"587","article-title":"Portable features for classifying emotional text","author":"mohammad","year":"2012","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics Human Language Technol"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21043-3_8"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1177\/0539018405058216"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2012.00460.x"},{"key":"ref38","first-page":"1083","article-title":"WordNet-Affect: An affective extension of WordNet","author":"strapparava","year":"2004","journal-title":"Proc 4th Int Conf Lang Resources Eval"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-558701-3.50007-7"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/0470013494.ch3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2098"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/S14-2001"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.2466\/pms.1986.62.3.875"},{"key":"ref36","article-title":"Affective norms for english words (ANEW): Instruction manual and affective ratings","author":"bradley","year":"1999","journal-title":"Psychology"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/BF02686918"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1037\/h0077714"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2016.78"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"article-title":"Recognising emotions and sentiments in text","year":"2011","author":"kim","key":"ref61"},{"key":"ref63","first-page":"82","article-title":"Oxford American Writer's Thesaurus","volume":"51","author":"reutter","year":"2005","journal-title":"School Libr J"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/RoEduNet-RENAM.2014.6955321"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-5010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-14331-6_26"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-68158-8"},{"key":"ref66","article-title":"Improving zero-shot learning by mitigating the hubness problem","author":"dinu","year":"2015","journal-title":"Proc Int Conf Learning Representations (ICLR 2015) Workshop"},{"key":"ref29","first-page":"127","article-title":"Unsupervised word polarity tagging by exploiting continuous word representations","volume":"55","author":"garc\u00eda-pablos","year":"2015","journal-title":"Procesamiento de lenguaje natural"},{"key":"ref67","first-page":"557","article-title":"Using analytic QP and sparseness to speed training of support vector machines","author":"platt","year":"1999","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"ref69","first-page":"35","article-title":"A corpus-based method for extracting paraphrases of emotion terms","author":"keshtkar","year":"2010","journal-title":"Proc NAACL HLT Workshop Comput Approach Anal Generat Emotion in Text"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2674683.2674699"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CISIS.2012.192"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3115\/1073445.1073465"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806475"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1162\/coli.2008.34.1.1"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref23","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 2013)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICALT.2008.78"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9"},{"article-title":"EmotiBlog: A model to learn subjetive information detection in the new textual genres of the web 2.0-multilingual and multi-genre approach","year":"2012","author":"boldrini","key":"ref50"},{"key":"ref51","first-page":"1149","article-title":"EmoTweet-28: A fine-grained emotion corpus for sentiment analysis","author":"liew","year":"2016","journal-title":"Proc Int Conf Lang Resources Eval"},{"key":"ref59","first-page":"25","article-title":"A bootstrapping technique to annotate emotional corpora automatically","author":"canales","year":"2016","journal-title":"Proc Workshop Emotion Sentiment Anal (LREC 2016)"},{"key":"ref58","first-page":"30","article-title":"Distant supervision for emotion detection using Facebook reactions","author":"pool","year":"2016","journal-title":"Proc Workshop Comput Modeling People's Opinions Personality Emotions Soc Media (COLING 2016)"},{"journal-title":"The Face of Emotion","year":"1971","author":"izard","key":"ref57"},{"key":"ref56","first-page":"587","article-title":"Harnessing Twitter &#x201C;Big Data","author":"wang","year":"2012","journal-title":"Proc Int Conf Social Comput ASE\/IEEE Int Conf Privacy Secur Risk Trust"},{"key":"ref55","first-page":"435","article-title":"Happy, nervous or surprised? Classification of human affective states in social media","author":"choudhury","year":"2012","journal-title":"Proc 6th Int AAAI Conf Weblogs Social Media"},{"key":"ref54","first-page":"246","article-title":"#emotional tweets","author":"mohammad","year":"2012","journal-title":"Proc 1st Joint Conf Lexical Comput Semantics&#x2014;Volume 1 Proc Main Conf Shared Task Volume 2 Proc 6th Int Workshop Semantic Eval"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-1026"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2014.09.003"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3115\/1621474.1621487"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3115\/1119176.1119180"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1111\/coin.12024"},{"key":"ref12","first-page":"2764","article-title":"A bootstrapping method for building subjectivity lexicons for languages with scarce resources","author":"banea","year":"2008","journal-title":"Proc 6th Int Conf Language Resources Eval"},{"key":"ref13","first-page":"1313","article-title":"BootCaT: Bootstrapping corpora and terms from the web","author":"baroni","year":"2004","journal-title":"Proc 4th Int Conf Lang Resources Eval (LREC)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1596515.1596516"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3115\/981658.981684"},{"key":"ref16","first-page":"100","article-title":"Unsupervised models for named entity classification","author":"collins","year":"1999","journal-title":"Proc Joint SIGDAT Conf Empirical Methods Natural Language Process Very Large Corpora"},{"key":"ref17","first-page":"474","article-title":"Learning dictionaries for information extraction by multi-level bootstrapping","author":"riloff","year":"1999","journal-title":"Proc 16th Nat Conf Artif Intell 11th Innovative Appl Artif Intell Conf Innovative Appl Artif Intell"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEV.2014.6850712"},{"key":"ref19","first-page":"97","article-title":"Automatic word sense discrimination","volume":"24","author":"sch\u00fctze","year":"1998","journal-title":"Comput Linguistics"},{"article-title":"Measuring emotion","year":"2014","author":"vaassen","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.05.050"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-36973-5_62"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4137\/BII.S8933"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-08-100508-8.00009-6"},{"key":"ref7","first-page":"583","article-title":"Characterizing geographic variation in well-being using tweets","author":"schwartz","year":"2013","journal-title":"Proc ICWSM Intl Conf Weblogs Social Media"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324910000239"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74628-7_27"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220648"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-804412-4.00003-6"},{"key":"ref48","first-page":"806","article-title":"Recognition of affect, judgment, and appreciation in text","author":"neviarouskaya","year":"2010","journal-title":"Proc 23rd Int Conf Comput Linguistics"},{"key":"ref47","first-page":"296","article-title":"Using roget's thesaurus for fine-grained emotion recognition","author":"aman","year":"2008","journal-title":"Proc 3rd Int Joint Conf Nat Lang Process (IJCNLP)"},{"key":"ref42","first-page":"2666","article-title":"SenticNet 4 : A semantic resource for sentiment analysis based on conceptual primitives","author":"cambria","year":"2016","journal-title":"Proc 26th Int Conf Comput Linguistics"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2013.4"},{"journal-title":"Foundations of Machine Learning","year":"2012","author":"mohri","key":"ref44"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-2070"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/9103669\/08074743.pdf?arnumber=8074743","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:13:27Z","timestamp":1651079607000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8074743\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,1]]},"references-count":74,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2017.2764470","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"type":"electronic","value":"1949-3045"},{"type":"electronic","value":"2371-9850"}],"subject":[],"published":{"date-parts":[[2020,4,1]]}}}