{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T07:52:17Z","timestamp":1726213937092},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319445632"},{"type":"electronic","value":"9783319445649"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-44564-9_23","type":"book-chapter","created":{"date-parts":[[2016,8,21]],"date-time":"2016-08-21T22:00:36Z","timestamp":1471816836000},"page":"247-252","source":"Crossref","is-referenced-by-count":3,"title":["Brazilian Social Mood: The Political Dimension of Emotion"],"prefix":"10.1007","author":[{"given":"Leila","family":"Weitzel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fl\u00e1via","family":"Bernardini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paulo","family":"Quaresma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudio Andr\u00e9","family":"Alves","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wladek","family":"Zacharski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luis G.","family":"de Figueiredo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,8,23]]},"reference":[{"key":"23_CR1","unstructured":"Contractor, D., Chawda, B., Mehta, S., Subramaniam, L.V., Faruquie, T.A.: Tracking political elections on social media: applications and experience. In: Proceedings of the 24th International Conference on Artificial Intelligence, pp. 2320\u20132326. AAAI Press, Buenos Aires (2015)"},{"key":"23_CR2","doi-asserted-by":"crossref","unstructured":"O\u2019Connor, B., Balasubramanyan, R., Routledge, B.R., Smith, N.A.: From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series (2010)","DOI":"10.1609\/icwsm.v4i1.14031"},{"key":"23_CR3","first-page":"1145","volume":"4","author":"S Dhawan","year":"2014","unstructured":"Dhawan, S., Singh, K., Sehrawat, D.: Emotion mining techniques in social networking sites. Int. J. Inf. Comput. Technol. 4, 1145\u20131153 (2014)","journal-title":"Int. J. Inf. Comput. Technol."},{"key":"23_CR4","unstructured":"Kim, S.M.: Recognising Emotions and Sentiments in Text. School of Electrical and Information Engineering. Master of Philosophy, p. 128. University of Sydney, Sidney- AU (2011)"},{"key":"23_CR5","first-page":"7431","volume":"3","author":"S Dhawan","year":"2014","unstructured":"Dhawan, S., Singh, K., Khanchi, V.: A framework for polarity classification and emotion mining from text International. J. Eng. Comput. Sci. 3, 7431\u20137436 (2014)","journal-title":"J. Eng. Comput. Sci."},{"key":"23_CR6","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1037\/0022-3514.37.3.345","volume":"37","author":"J Russell","year":"1979","unstructured":"Russell, J.: Affective space is bipolar. J. Pers. Soc. Psychol. 37, 345\u2013356 (1979)","journal-title":"J. Pers. Soc. Psychol."},{"key":"23_CR7","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1111\/j.1467-8640.2012.00460.x","volume":"8","author":"S Mohammad","year":"2013","unstructured":"Mohammad, S., Turney, P.D.: Crowdsourcing a word-emotion association lexicon. Comput. Intell. 8, 436\u2013465 (2013)","journal-title":"Comput. Intell."},{"key":"23_CR8","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1511\/2001.4.344","volume":"89","author":"R Plutchik","year":"2001","unstructured":"Plutchik, R.: The nature of emotions. Am. Sci. 89, 344\u2013350 (2001)","journal-title":"Am. Sci."},{"key":"23_CR9","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1037\/h0077714","volume":"39","author":"JA Russel","year":"1980","unstructured":"Russel, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39, 1161\u20131178 (1980)","journal-title":"J. Pers. Soc. Psychol."},{"key":"23_CR10","volume-title":"Nonparametric Statistics for the Behavioral Sciences","author":"S Siegel","year":"1988","unstructured":"Siegel, S., Castellan, N.J.: Nonparametric Statistics for the Behavioral Sciences. McGraw-Hill, New York (1988)"},{"key":"23_CR11","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1080\/026999398379574","volume":"12","author":"LF Barrett","year":"1998","unstructured":"Barrett, L.F.: Discrete emotions or dimensions? the role of valence focus and arousal focus. Cogn. Emot. 12, 579\u2013599 (1998)","journal-title":"Cogn. Emot."}],"container-title":["Lecture Notes in Computer Science","Experimental IR Meets Multilinguality, Multimodality, and Interaction"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-44564-9_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,19]],"date-time":"2023-08-19T15:55:18Z","timestamp":1692460518000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-44564-9_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319445632","9783319445649"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-44564-9_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}