{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,4]],"date-time":"2025-06-04T04:17:47Z","timestamp":1749010667936,"version":"3.41.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319415604"},{"type":"electronic","value":"9783319415611"}],"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\/978-3-319-41561-1_20","type":"book-chapter","created":{"date-parts":[[2016,6,27]],"date-time":"2016-06-27T01:11:44Z","timestamp":1466989904000},"page":"266-281","source":"Crossref","is-referenced-by-count":3,"title":["Mining Event Sequences from Social Media for Election Prediction"],"prefix":"10.1007","author":[{"given":"Kuan-Chieh","family":"Tung","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"En Tzu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arbee L. P.","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,6,28]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes twitter users: real-time event detection by social sensors. In: Proceedings of the 19th International Conference on World Wide Web, WWW 2010, Raleigh, North Carolina, USA, pp. 851\u2013860 (2010)","DOI":"10.1145\/1772690.1772777"},{"key":"20_CR2","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1038\/nature07634","volume":"457","author":"J Ginsberg","year":"2009","unstructured":"Ginsberg, J., Mohebbi, M.H., Patel, R.S., Brammer, L., Smolinski, M.S., Brilliant, L.: Detecting influenza epidemics using search engine query data. Proc. Nat. 457, 1012\u20131014 (2009)","journal-title":"Proc. Nat."},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Liu, C., Xu, R., Gui, L.: Burst events detection on micro-blogging. In: Proceedings of the International Conference on Machine Learning and Cybernetics, ICMLC 2013, pp. 1921\u20131924 (2013)","DOI":"10.1109\/ICMLC.2013.6890909"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Xie, W., Zhu, F., Jiang, J., Lim, E.-P., Wang, K.: Topicsketch: real-time bursty topic detection from twitter. In: Proceedings of the 13th International Conference on Data Mining, ICDM 2013, Dallas, TX, USA, pp. 837\u2013846 (2013)","DOI":"10.1109\/ICDM.2013.86"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Fink, C., Bos, N., Perrone, A., Liu, E., Kopcky, J.: Twitter, public opinion, and the 2011 Nigerian Presidential election. In: Proceedings of the IEEE Conference on Social Computing, SocialCom 2013, Washington, DC, USA, pp. 311\u2013320 (2013)","DOI":"10.1109\/SocialCom.2013.50"},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Gaurav, M., Srivastava, A., Kumar, A., Miller, S.: Leveraging candidate popularity on twitter to predict election outcome. In: Proceedings of the 7th Workshop on Social Network Mining and Analysis, SNAKDD 2013, Chicago, Illinois, USA, pp. 1\u20137 (2013)","DOI":"10.1145\/2501025.2501038"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Makazhanov, A., Rafiel, D.: Predicting political preference of twitter users. In: Proceedings of the International Conference on Advances in Social Network Analysis and Mining, ASONAM 2013, Niagara, Ontario, Canada, pp. 298\u2013305 (2013)","DOI":"10.1145\/2492517.2492527"},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"O\u2019Banion, S., Birnbaum, L.: Using explicit linguistic expressions of preference in social media to predict voting behavior. In: Proceedings of the International Conference on Advances in Social Network Analysis and Mining, ASONAM 2013, Niagara, Ontario, Canada, pp. 207\u2013214 (2013)","DOI":"10.1145\/2492517.2492538"},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Sprenger, A.T.O., Sandner, P.G. Welpe, I.M.: Predicting elections with twitter: what 140 characters reveal about political sentiment. In: Proceedings of the 4th International Conference on Weblogs and Social Media, ICWSM 2010, Washington, DC, USA, pp. 178\u2013185 (2010)","DOI":"10.1609\/icwsm.v4i1.14009"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Unankard, S., Li, X., Sharaf, M.A., Zhong, J., Li, X.: Predicting elections from social net works based on sub-event detection and sentiment analysis. In: Proceedings of the 15th International Conference on Web Information System Engineering, WISE 2014, Thessaloniki, Greece, pp. 1\u201316 (2014)","DOI":"10.1007\/978-3-319-11746-1_1"},{"key":"20_CR11","unstructured":"Blei, D.-M., Ng, A.-Y., Jordan, M.-I.: Latent Dirichlet allocation. Proc. J. Mach. Learn. Res. JMLR 2003 3, 993\u20131022 (2003)"},{"key":"20_CR12","unstructured":"Liu, B., Hsu, W., Ma, Y.: Integrating classification and association rule mining. In: Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, KDD 1998, New York, USA, pp. 80\u201386 (1998)"},{"key":"20_CR13","unstructured":"Li, W., Han, J., Pei, J.: CMAR: accurate and efficient classification based on multiple class-association rules. In: Proceedings of the 2001 International Conference on Data Mining, ICDM 2001, San Jose, California, USA, pp. 369\u2013376 (2001)"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Yin, X., Han, J.: CPAR: classification based on predictive association rule. In: Proceedings of the 3rd SIAM International Conference on Data Mining, SDM 2003, San Francisco, CA, USA, pp. 331\u2013335 (2003)","DOI":"10.1137\/1.9781611972733.40"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Ma, W.-Y., Chen, K.-J: Introduction to CKIP Chinese word segmentation system for the first international Chinese word segmentation bakeoff. In: Proceedings of the Second SIGHAN Workshop on Chinese Language Processing, SIGHAN 2003, Sapporo, Japan, JPA (2003)","DOI":"10.3115\/1119250.1119276"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Levy, R., Manning, C.-D.: Is it harder to parse Chinese, or the Chinese Treebank? In: Proceedings of the International Conference on Association for Computational Linguistics, ACL 2003, Sapporo, Japan, pp. 439\u2013446 (2003)","DOI":"10.3115\/1075096.1075152"},{"key":"20_CR17","unstructured":"Pei, J., Han, J., Mortazavi-Asl, B., Pinto, H., Chen, Q., Dayal, U., Hsu, M.: PrefixSpan: mining sequential patterns by prefix-projected growth. In: Proceedings of the 17th International Conference on Data Engineering, ICDE 2001, Heidelberg, Germany, pp. 215\u2013224 (2001)"}],"container-title":["Lecture Notes in Computer Science","Advances in Data Mining. Applications and Theoretical Aspects"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-41561-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,3]],"date-time":"2025-06-03T22:50:45Z","timestamp":1748991045000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-41561-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319415604","9783319415611"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-41561-1_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}