{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T15:15:27Z","timestamp":1770563727988,"version":"3.49.0"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"Keio Leading-Edge Laboratory of Science and Technology-Japan","award":["KEIO-KLL-000081"],"award-info":[{"award-number":["KEIO-KLL-000081"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2876674","type":"journal-article","created":{"date-parts":[[2018,10,18]],"date-time":"2018-10-18T19:03:26Z","timestamp":1539889406000},"page":"64486-64502","source":"Crossref","is-referenced-by-count":51,"title":["Multi-Class Sentiment Analysis in Twitter: What if Classification is Not the Answer"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7055-9318","authenticated-orcid":false,"given":"Mondher","family":"Bouazizi","sequence":"first","affiliation":[]},{"given":"Tomoaki","family":"Ohtsuki","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59650-1_3"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2014.7041632"},{"key":"ref33","article-title":"Multiclass sentiment prediction using yelp business reviews","author":"yu","year":"2015"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICECCT.2015.7226053"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2013.6637404"},{"key":"ref30","author":"bhoi","year":"2018","journal-title":"Various approaches to aspect-based sentiment analysis"},{"key":"ref37","first-page":"2019","article-title":"Emotion prediction of news articles from reader’s perspective based on multi-label classification","volume":"5","author":"ye","year":"2012","journal-title":"Proc Int Conf Mach Learn Cybern"},{"key":"ref36","first-page":"220","article-title":"Emotion classification of online news articles from the reader’s perspective","volume":"1","author":"lin","year":"2008","journal-title":"Proc IEEE\/WIC IAT"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277882"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.02.002"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/SocialCom.2013.54"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/VCON.2010.9"},{"key":"ref29","first-page":"1218","article-title":"Hybrid sentiment classification on Twitter aspect-based sentiment analysis","volume":"48","author":"zainuddin","year":"2018","journal-title":"Appl Intell"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1509\/jmkr.47.4.643"},{"key":"ref1","first-page":"30","article-title":"Measuring user influence in Twitter: The million follower fallacy","volume":"10","author":"cha","year":"2010","journal-title":"Proc ICWSM"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1257\/jep.31.2.211"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2361256.2361258"},{"key":"ref21","first-page":"26","article-title":"From tweets to polls: Linking text sentiment to public opinion time series","author":"o\u2019connor","year":"2010","journal-title":"Proc Int AAAI Conf Weblogs Social Media"},{"key":"ref24","first-page":"672","article-title":"Tweeters on campus: Twitter a learning tool in classroom?","volume":"19","author":"dhir","year":"2013","journal-title":"J Universal Comput Sci"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1177\/1469787411429190"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IISA.2014.6878767"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2492517.2500290"},{"key":"ref50","author":"quinlan","year":"1993","journal-title":"C4 5 Programs for Machine Learning"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1166\/asl.2018.10661"},{"key":"ref11","first-page":"91","article-title":"Sentiment analysis in Twitter for multiple topics: How to detect the polarity of tweets regardless of their topic","author":"bouazizi","year":"2015","journal-title":"Proc IEICE ASN"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.07.032"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2740982"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2016.7511392"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICAdTE.2013.6524752"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.cosrev.2017.10.002","article-title":"The evolution of sentiment analysis—A review of research topics, venues, and top cited papers","volume":"27","author":"m\u00e4ntyl\u00e4","year":"2018","journal-title":"Comput Sci Rev"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1348549.1348556"},{"key":"ref17","first-page":"1308","article-title":"Community detection in multiplex networks using Locally Adaptive Random walks","author":"kuncheva","year":"2015","journal-title":"Proc IEEE\/ACM ASONAM"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2808797.2809411"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2017.08.032"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/1750481312437441"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.5210\/fm.v18i7.4217"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324912000332"},{"key":"ref5","first-page":"372","article-title":"Sentiment analysis on Twitter","volume":"9","author":"kumar","year":"2012","journal-title":"Int J Comput Sci Issues"},{"key":"ref8","first-page":"508","article-title":"Semantic sentiment analysis of Twitter","author":"saif","year":"2012","journal-title":"Proc Int Semantic Web Conf"},{"key":"ref7","first-page":"30","article-title":"Sentiment analysis of Twitter data","author":"agarwal","year":"2011","journal-title":"Proc Workshop Lang Social Media"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IISA.2013.6623713"},{"key":"ref46","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/7287.001.0001","author":"fellbaum","year":"1998","journal-title":"WordNet An Electronic Lexical Database"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2015.7417640"},{"key":"ref47","first-page":"107","article-title":"Semi-supervised recognition of sarcastic sentences in Twitter and Amazon","author":"davidov","year":"2010","journal-title":"Proc Conf Computational Natural Language Learning"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2700406"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.75"},{"key":"ref44","first-page":"97","article-title":"Tweet sentiment: From classification to quantification","author":"gao","year":"2015","journal-title":"Proc IEEE\/ACM ASONAM"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-008-0097-y"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08496747.pdf?arnumber=8496747","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T03:26:33Z","timestamp":1643253993000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8496747\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2876674","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}