{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:22:03Z","timestamp":1740097323882,"version":"3.37.3"},"publisher-location":"Berlin, Heidelberg","reference-count":21,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662534151"},{"type":"electronic","value":"9783662534168"}],"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\/978-3-662-53416-8_1","type":"book-chapter","created":{"date-parts":[[2016,9,3]],"date-time":"2016-09-03T11:04:19Z","timestamp":1472900659000},"page":"1-18","source":"Crossref","is-referenced-by-count":1,"title":["Brazilians Divided: Political Protests as Told by Twitter"],"prefix":"10.1007","author":[{"given":"C\u00e1ssia","family":"de Souza Carvalho","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabr\u00edcio Olivetti","family":"de Fran\u00e7a","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Denise Hideko","family":"Goya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudio Luis","family":"de Camargo Penteado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,4]]},"reference":[{"key":"1_CR1","unstructured":"Agarwal, A., Xie, B., Vovsha, I., Rambow, O., Passonneau, R.: Sentiment analysis of Twitter data. In: Proceedings of Workshop on Languages in Social Media, pp. 30\u201338. Association for Computational Linguistics (2011)"},{"key":"1_CR2","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/978-1-4614-3223-4_6","volume-title":"Mining Text Data","author":"CC Aggarwal","year":"2012","unstructured":"Aggarwal, C.C., Zhai, C.: A survey of text classification algorithms. In: Aggarwal, C.C., Zhai, C. (eds.) Mining Text Data, pp. 163\u2013222. Springer, New York (2012)"},{"key":"1_CR3","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-04898-2_161","volume-title":"Categorical Data Analysis","author":"A Agresti","year":"2011","unstructured":"Agresti, A., Kateri, M.: Categorical Data Analysis. Springer, Berlin (2011)"},{"issue":"1","key":"1_CR4","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/S0306-4573(02)00021-3","volume":"39","author":"A Aizawa","year":"2003","unstructured":"Aizawa, A.: An information-theoretic perspective of TF-IDF measures. Inf. Process. Manag. 39(1), 45\u201365 (2003)","journal-title":"Inf. Process. Manag."},{"issue":"6","key":"1_CR5","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1016\/S0893-6080(99)00032-5","volume":"12","author":"SI Amari","year":"1999","unstructured":"Amari, S.I., Wu, S.: Improving support vector machine classifiers by modifying kernel functions. Neural Netw. 12(6), 783\u2013789 (1999)","journal-title":"Neural Netw."},{"issue":"9","key":"1_CR6","first-page":"548","volume":"45","author":"MW Berry","year":"2004","unstructured":"Berry, M.W., Castellanos, M.: Survey of text mining. Comput. Rev. 45(9), 548 (2004)","journal-title":"Comput. Rev."},{"issue":"2\u20133","key":"1_CR7","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1162\/JEEA.2009.7.2-3.458","volume":"7","author":"A Chong","year":"2009","unstructured":"Chong, A., Ferrara, E.L.: Television and divorce: evidence from Brazilian novelas. J. Eur. Econ. Assoc. 7(2\u20133), 458\u2013468 (2009)","journal-title":"J. Eur. Econ. Assoc."},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Kouloumpis, E., Wilson, T., Moore, J.: Twitter sentiment analysis: the good the bad and the OMG! In: ICWSM vol. 11, pp. 538\u2013541 (2011)","DOI":"10.1609\/icwsm.v5i1.14185"},{"key":"1_CR9","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1007\/978-1-4614-3223-4_13","volume-title":"Mining Text Data","author":"B Liu","year":"2012","unstructured":"Liu, B., Zhang, L.: A survey of opinion mining and sentiment analysis. In: Aggarwal, C.C., Zhai, C. (eds.) Mining Text Data, pp. 415\u2013463. Springer, New York (2012)"},{"key":"1_CR10","unstructured":"Livne, A., Simmons, M.P., Adar, E., Adamic, L.A.: The party is over here: structure and content in the 2010 election. In: ICWSM 2011 (2011)"},{"key":"1_CR11","first-page":"31","volume":"5","author":"G Lotan","year":"2011","unstructured":"Lotan, G., Graeff, E., Ananny, M., Gaffney, D., Pearce, I., Boyd, D.: The Arab spring| the revolutions were tweeted: information flows during the 2011 Tunisian and Egyptian revolutions. Int. J. Commun. 5, 31 (2011). http:\/\/ijoc.org\/index.php\/ijoc\/article\/view\/1246","journal-title":"Int. J. Commun."},{"key":"1_CR12","unstructured":"McCallum, A., Nigam, K., et al.: A comparison of event models for Naive Bayes text classification. In: AAAI-1998 Workshop on Learning for Text Categorization, vol. 752, pp. 41\u201348. Citeseer (1998)"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Miguel, L.F.: M\u00eddia e elei\u00e7\u00f5es: a campanha de 1998 na rede globo. Dados [online] 42(2) (1999). http:\/\/dx.doi.org\/10.1590\/S0011-52581999000200002","DOI":"10.1590\/S0011-52581999000200002"},{"key":"1_CR14","unstructured":"Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion mining. In: LREC, vol. 10, pp. 1320\u20131326 (2010)"},{"key":"1_CR15","unstructured":"Roth, V., Steinhage, V.: Nonlinear discriminant analysis using kernel functions. In: Advances in Neural Information Processing Systems. Citeseer (1999)"},{"key":"1_CR16","doi-asserted-by":"crossref","unstructured":"Spaiser, V., Chadefaux, T., Donnay, K., Russmann, F., Helbing, D.: Social Media and Regime Change: The Strategic Use of Twitter in the 2011\u20132012 Russian Protests (2014). Available at SSRN","DOI":"10.2139\/ssrn.2528102"},{"issue":"3","key":"1_CR17","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"JA Suykens","year":"1999","unstructured":"Suykens, J.A., Vandewalle, J.: Least squares support vector machine classifiers. Neural Process. Lett. 9(3), 293\u2013300 (1999)","journal-title":"Neural Process. Lett."},{"key":"1_CR18","volume-title":"Learning to Learn","author":"S Thrun","year":"2012","unstructured":"Thrun, S., Pratt, L.: Learning to Learn. Springer Science & Business Media, New York (2012)"},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Turkmen, A., Cemgil, A.: Political interest and tendency prediction from microblog data. In: 2014 22nd Signal Processing and Communications Applications Conference (SIU), pp. 1327\u20131330, April 2014","DOI":"10.1109\/SIU.2014.6830482"},{"issue":"1","key":"1_CR20","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1145\/3147.3165","volume":"11","author":"JS Vitter","year":"1985","unstructured":"Vitter, J.S.: Random sampling with a reservoir. ACM Trans. Math. Softw. (TOMS) 11(1), 37\u201357 (1985)","journal-title":"ACM Trans. Math. Softw. (TOMS)"},{"key":"1_CR21","unstructured":"Watts, J.: Brazil: hundreds of thousands of protesters call for rousseff impeachment. The Guardian (2015). http:\/\/www.theguardian.com\/world\/2015\/mar\/15\/brazil-protesters-rouseff-impeachment-petrobas"}],"container-title":["Lecture Notes in Computer Science","Transactions on Large-Scale Data- and Knowledge-Centered Systems XXVII"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-53416-8_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,19]],"date-time":"2023-08-19T23:27:25Z","timestamp":1692487645000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-53416-8_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783662534151","9783662534168"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-53416-8_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}