{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T06:44:25Z","timestamp":1720334665378},"reference-count":25,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2018,9,18]],"date-time":"2018-09-18T00:00:00Z","timestamp":1537228800000},"content-version":"am","delay-in-days":382,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1,263,386"],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Image and Vision Computing"],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1016\/j.imavis.2017.01.006","type":"journal-article","created":{"date-parts":[[2017,1,31]],"date-time":"2017-01-31T09:00:34Z","timestamp":1485853234000},"page":"58-65","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":24,"special_numbering":"C","title":["GOAALLL!: Using sentiment in the world cup to explore theories of emotion"],"prefix":"10.1016","volume":"65","author":[{"given":"Gale M.","family":"Lucas","sequence":"first","affiliation":[]},{"given":"Jonathan","family":"Gratch","sequence":"additional","affiliation":[]},{"given":"Nikolaos","family":"Malandrakis","sequence":"additional","affiliation":[]},{"given":"Evan","family":"Szablowski","sequence":"additional","affiliation":[]},{"given":"Eli","family":"Fessler","sequence":"additional","affiliation":[]},{"given":"Jeffrey","family":"Nichols","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.imavis.2017.01.006_bb0005","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1257\/jel.41.4.1137","article-title":"The economic design of sporting contests","volume":"41","author":"Szymanski","year":"2003","journal-title":"J. Econ. Lit."},{"issue":"3","key":"10.1016\/j.imavis.2017.01.006_bb0010","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1086\/257790","article-title":"The baseball players' labor market","volume":"64","author":"Rottenberg","year":"1956","journal-title":"J. Polit. Econ."},{"issue":"3","key":"10.1016\/j.imavis.2017.01.006_bb0015","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0010-0285(85)90010-6","article-title":"The hot hand in basketball: on the misperception of random sequences","volume":"17","author":"Gilovich","year":"1985","journal-title":"Cogn. Psychol."},{"issue":"6","key":"10.1016\/j.imavis.2017.01.006_bb0020","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1016\/j.psychsport.2006.03.001","article-title":"Twenty years of \u201chot hand\u201d research: review and critique","volume":"7","author":"Bar-Eli","year":"2006","journal-title":"Psychol. Sport Exerc."},{"key":"10.1016\/j.imavis.2017.01.006_bb0025","doi-asserted-by":"crossref","first-page":"263","DOI":"10.2307\/1914185","article-title":"Prospect theory: an analysis of decision under risk","volume":"XLVII","author":"Kahneman","year":"1979","journal-title":"Econometrica"},{"issue":"4","key":"10.1016\/j.imavis.2017.01.006_bb0030","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1037\/0022-3514.69.4.603","article-title":"When less is more: counterfactual thinking and satisfaction among Olympic medalists","volume":"69","author":"Medvec","year":"1995","journal-title":"J. Pers. Soc. Psychol."},{"key":"10.1016\/j.imavis.2017.01.006_bb0035","series-title":"The Joy of Victory and the Agnony of Defeat: the Emotions of Sports Fans","author":"Clore","year":"2007"},{"issue":"6","key":"10.1016\/j.imavis.2017.01.006_bb0040","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.1037\/0022-3514.69.6.1113","article-title":"Are smiles a sign of happiness? Gold medal winners at the Olympic games","volume":"69","author":"Fern\u00e1ndez-Dols","year":"1995","journal-title":"J. Pers. Soc. Psychol."},{"key":"10.1016\/j.imavis.2017.01.006_bb0045","series-title":"World Cup Was Biggest Event Yet for Twitter with 672m Tweets","author":"Dredge","year":"2014"},{"key":"10.1016\/j.imavis.2017.01.006_bb0050","series-title":"Proceedings of the 2012 ACM International Conference on Intelligent User Interfaces 2012","first-page":"189","article-title":"Summarizing sporting events using twitter","author":"Nichols","year":"2012"},{"key":"10.1016\/j.imavis.2017.01.006_bb0055","series-title":"Proc. SemEval2014","first-page":"512","article-title":"SAIL: sentiment analysis using semantic similarity and contrast features","author":"Malandrakis","year":"2014"},{"key":"10.1016\/j.imavis.2017.01.006_bb0060","series-title":"Proc. SemEval2014","article-title":"SemEval-2014 task 9: sentiment analysis in twitter","author":"Rosenthal","year":"2014"},{"key":"10.1016\/j.imavis.2017.01.006_bb0065","series-title":"Proc. SemEval 2016","first-page":"155","article-title":"Tweester at SemEval-2016 Task 4: sentiment analysis in twitter using semantic-affective model adaptation","author":"Palogiannidi","year":"2016"},{"key":"10.1016\/j.imavis.2017.01.006_bb0070","series-title":"Proc. SemEval 2016","first-page":"1","article-title":"SemEval-2016 task 4: sentiment analysis in twitter","author":"Nakov","year":"2016"},{"key":"10.1016\/j.imavis.2017.01.006_bb0075","series-title":"Proceedings of the 2006 ACM Symposium on Applied Computing2006","first-page":"859","article-title":"Evaluation of a language identification system for mono- and multilingual text documents","author":"Artemenko","year":"2006"},{"key":"10.1016\/j.imavis.2017.01.006_bb0080","series-title":"Natural Language Processing with Python2009","author":"Bird","year":"2009"},{"key":"10.1016\/j.imavis.2017.01.006_bb0085","series-title":"Proc. NAACL2013","first-page":"380","article-title":"Improved part-of-speech tagging for online conversational text with word clusters","author":"Owoputi","year":"2013"},{"issue":"11","key":"10.1016\/j.imavis.2017.01.006_bb0090","doi-asserted-by":"crossref","first-page":"2379","DOI":"10.1109\/TASL.2013.2277931","article-title":"Distributional semantic models for affective text analysis","volume":"21","author":"Malandrakis","year":"2013","journal-title":"IEEE Trans. Audio Speech Lang. Process."},{"key":"10.1016\/j.imavis.2017.01.006_bb0095","series-title":"Correlation-Based Feature Selection for Machine Learning","author":"Hall","year":"1999"},{"key":"10.1016\/j.imavis.2017.01.006_bb0100","series-title":"Proc. ICASSP2014","first-page":"4838","article-title":"Affective language model adaptation via corpus selection","author":"Malandrakis","year":"2014"},{"key":"10.1016\/j.imavis.2017.01.006_bb0105","series-title":"Proceedings of the 4th International Workshop on Audio\/Visual Emotion Challenge2014","first-page":"33","article-title":"Multimodal prediction of affective dimensions and depression in human-computer interactions","author":"Gupta","year":"2014"},{"issue":"2","key":"10.1016\/j.imavis.2017.01.006_bb0110","first-page":"75","article-title":"On the edge of your seat: demand for football on television and the uncertainty of outcome hypothesis","volume":"5","author":"Alavy","year":"2010","journal-title":"Int. J. Sport Financ."},{"key":"10.1016\/j.imavis.2017.01.006_bb0115","doi-asserted-by":"crossref","DOI":"10.1177\/1527002513496011","article-title":"Testing the uncertainty of outcome hypothesis in European professional football: a stated preference approach","author":"Pawlowski","year":"2013","journal-title":"J. Sports Econ."},{"issue":"6","key":"10.1016\/j.imavis.2017.01.006_bb0120","doi-asserted-by":"crossref","first-page":"1114","DOI":"10.1109\/TMM.2005.858397","article-title":"Adaptive extraction of highlights from a sport video based on excitement modeling","volume":"7","author":"Hanjalic","year":"2005","journal-title":"IEEE Trans. Multimedia"},{"key":"10.1016\/j.imavis.2017.01.006_bb0125","series-title":"Human as Real-Time Sensors of Social and Physical Events: A Case Study of Twitter and Sports Games","author":"Zhao","year":"2011"}],"container-title":["Image and Vision Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885617300148?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885617300148?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,4,6]],"date-time":"2024-04-06T05:27:37Z","timestamp":1712381257000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0262885617300148"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":25,"alternative-id":["S0262885617300148"],"URL":"https:\/\/doi.org\/10.1016\/j.imavis.2017.01.006","relation":{},"ISSN":["0262-8856"],"issn-type":[{"value":"0262-8856","type":"print"}],"subject":[],"published":{"date-parts":[[2017,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"GOAALLL!: Using sentiment in the world cup to explore theories of emotion","name":"articletitle","label":"Article Title"},{"value":"Image and Vision Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.imavis.2017.01.006","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}