{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T15:46:06Z","timestamp":1776786366813,"version":"3.51.2"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"JST CREST","award":["JPMJCR1513"],"award-info":[{"award-number":["JPMJCR1513"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2021,7,1]]},"DOI":"10.1109\/taffc.2018.2885304","type":"journal-article","created":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T19:40:01Z","timestamp":1544470801000},"page":"682-691","source":"Crossref","is-referenced-by-count":16,"title":["Autoencoder for Semisupervised Multiple Emotion Detection of Conversation Transcripts"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9691-1666","authenticated-orcid":false,"given":"Duc-Anh","family":"Phan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4946-9574","authenticated-orcid":false,"given":"Yuji","family":"Matsumoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroyuki","family":"Shindo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"0","article-title":"Multidimensional classifiers for neuroanatomical data","author":"fernandez-gonzalez","year":"2015","journal-title":"Proc ICML Workshop Statist Mach Learn Neurosci"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24775-3_5"},{"key":"ref33","article-title":"A survey of available corpora for building data-driven dialogue systems","author":"serban","year":"2015","journal-title":"CoRR"},{"key":"ref32","article-title":"Movie language revisited. Evidence from multi-dimensional analysis and corpora","author":"forchini","year":"2012"},{"key":"ref31","article-title":"Cinematic dialogue, literary dialogue, and the art of adaptation: Dialogue metamorphosis in the film adaptation of the green mile","author":"rauma","year":"2004"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1460563.1460611"},{"key":"ref37","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"abadi","year":"2015"},{"key":"ref36","first-page":"151","article-title":"Semi-supervised recursive autoencoders for predicting sentiment distributions","author":"socher","year":"2011","journal-title":"Proc Conf Empirical Methods Natural Lang Process"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1162\/coli.07-034-R2"},{"key":"ref34","article-title":"Kappa: Coefficient of concordance","volume":"20","author":"cohen","year":"1960","journal-title":"Educational Psychological Meas"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2723012"},{"key":"ref11","first-page":"45","article-title":"Software framework for topic modelling with large corpora","author":"?eh??ek","year":"2010","journal-title":"Proc LREC Workshop New Challenges NLP Frameworks"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1037\/0022-3514.53.4.712"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2012.00456.x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-2129"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1066"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1017\/S0954579405050340"},{"key":"ref17","first-page":"26","article-title":"Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon","author":"mohammad","year":"2010","journal-title":"Proc NAACL HLT 2010 Workshop Comput Approaches Anal Generation Emotion Text"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-012-0314-x"},{"key":"ref19","first-page":"25","article-title":"Affective norms for english words (ANEW): Instruction manual and affective ratings","volume":"30","author":"bradley","year":"1999"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Sci"},{"key":"ref4","first-page":"302","article-title":"Trend analysis on social networking using opinion mining a survey","volume":"1","author":"dave","year":"2015","journal-title":"Int J Sci Res Sci Eng Technol"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.4018\/jdwm.2007070101"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1101"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.4324\/9781315802411"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16354-3_5"},{"key":"ref5","first-page":"450","article-title":"Modeling public mood and emotion: Twitter sentiment and socio-economic phenomena","volume":"11","author":"bollen","year":"2011","journal-title":"ICWSM"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-558701-3.50007-7"},{"key":"ref7","article-title":"Multiple emotions detection in conversation transcripts","author":"phan","year":"2016","journal-title":"Proc 30th Pacific Asia Conf Lang Inf Comput"},{"key":"ref2","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 Lang Technol"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1511\/2001.4.344"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3115\/1621474.1621487"},{"key":"ref20","first-page":"1083","article-title":"Wordnet affect: An affective extension of wordnet","volume":"4","author":"strapparava","year":"2004","journal-title":"Proc LREC"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"3","DOI":"10.3233\/IRG-2006-16(1)02","article-title":"Predicting affective states expressed through an emote-aloud procedure from autotutor's mixed-initiative dialogue","volume":"16","author":"d'mello","year":"2006","journal-title":"Int J Artif Intell Educ"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2016.28"},{"key":"ref24","first-page":"964","article-title":"Predicting and eliciting addressee's emotion in online dialogue","author":"hasegawa","year":"2013","journal-title":"Proc Annual Meeting of the Assoc Computational Linguistics"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WI.2007.51"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74958-5_38"},{"key":"ref25","first-page":"489","article-title":"A unified model for multilabel classification and ranking","author":"brinker","year":"2006","journal-title":"Proc Conf ECAI 17th Eur Conf Artif Intell"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165369\/9527348\/08570758.pdf?arnumber=8570758","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T11:05:09Z","timestamp":1775300709000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8570758\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,1]]},"references-count":39,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2018.2885304","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,1]]}}}