{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T12:53:10Z","timestamp":1765975990955},"publisher-location":"Berlin, Heidelberg","reference-count":30,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642391453"},{"type":"electronic","value":"9783642391460"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-39146-0_8","type":"book-chapter","created":{"date-parts":[[2013,6,26]],"date-time":"2013-06-26T05:46:34Z","timestamp":1372225594000},"page":"77-88","source":"Crossref","is-referenced-by-count":66,"title":["Predictive Sentiment Analysis of Tweets: A Stock Market Application"],"prefix":"10.1007","author":[{"given":"Jasmina","family":"Smailovi\u0107","sequence":"first","affiliation":[]},{"given":"Miha","family":"Gr\u010dar","sequence":"additional","affiliation":[]},{"given":"Nada","family":"Lavra\u010d","sequence":"additional","affiliation":[]},{"given":"Martin","family":"\u017dnidar\u0161i\u010d","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"5","key":"8_CR1","doi-asserted-by":"publisher","first-page":"55","DOI":"10.2469\/faj.v21.n5.55","volume":"21","author":"E. Fama","year":"1965","unstructured":"Fama, E.: Random Walks in Stock Market Prices. Financial Analysts Journal\u00a021(5), 55\u201359 (1965)","journal-title":"Financial Analysts Journal"},{"issue":"5","key":"8_CR2","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1080\/09603100010013006","volume":"11","author":"M. Kavussanos","year":"2001","unstructured":"Kavussanos, M., Dockery, E.A.: Multivariate test for stock market efficiency: The case of ASE. Applied Financial Economics\u00a011(5), 573\u2013579 (2001)","journal-title":"Applied Financial Economics"},{"key":"8_CR3","unstructured":"Damasio, A.R.: Descartes error: emotion, reason, and the human brain. Harper Perennial (1995)"},{"issue":"3","key":"8_CR4","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1207\/s15427579jpfm0603_4","volume":"6","author":"J.R. Nofsinger","year":"2005","unstructured":"Nofsinger, J.R.: Social Mood and Financial Economics. Journal of Behavioral Finance\u00a06(3), 144\u2013160 (2005)","journal-title":"Journal of Behavioral Finance"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Gruhl, D., Guha, R., Kumar, R., Novak, J., Tomkins, A.: The predictive power of online chatter. In: Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, pp. 78\u201387 (2005)","DOI":"10.1145\/1081870.1081883"},{"key":"8_CR6","unstructured":"Tong, R.M.: An operational system for detecting and tracking opinions in on-line discussion. In: Working Notes of the ACM SIGIR 2001 Workshop on Operational Text Classification (OTC), pp. 1\u20136 (2001)"},{"key":"8_CR7","unstructured":"Mishne, G., Glance, N.: Predicting Movie Sales from Blogger Sentiment. In: AAAI Symposium on Computational Approaches to Analysing Weblogs AAAI-CAAW, pp. 155\u2013158 (2006)"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Asur, S., Huberman, B.A.: Predicting the Future with Social Media. In: Proceedings of the ACM International Conference on Web Intelligence, pp. 492\u2013499 (2010)","DOI":"10.1109\/WI-IAT.2010.63"},{"issue":"2","key":"8_CR9","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1002\/asi.21462","volume":"62","author":"M. Thelwall","year":"2011","unstructured":"Thelwall, M., Buckley, K., Paltoglou, G.: Sentiment in Twitter events. Journal of the American Society for Information Science and Technology\u00a062(2), 406\u2013418 (2011)","journal-title":"Journal of the American Society for Information Science and Technology"},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Ruiz, E.J., Hristidis, V., Castillo, C., Gionis, A., Jaimes, A.: Correlating financial time series with micro-blogging activity. In: Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, pp. 513\u2013522 (2012)","DOI":"10.1145\/2124295.2124358"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Bordino, I., Battiston, S., Caldarelli, G., Cristelli, M., Ukkonen, A., Weber, I.: Web search queries can predict stock market volumes. PLoS ONE\u00a07(7), e40014 (2011)","DOI":"10.1371\/journal.pone.0040014"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Gilbert, E., Karahalios, K.: Widespread Worry and the Stock Market. In: Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pp. 58\u201365 (2010)","DOI":"10.1609\/icwsm.v4i1.14023"},{"issue":"1","key":"8_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jocs.2010.12.007","volume":"2","author":"J. Bollen","year":"2011","unstructured":"Bollen, J., Mao, H., Zeng, X.: Twitter mood predicts the stock market. Journal of Computational Science\u00a02(1), 1\u20138 (2011)","journal-title":"Journal of Computational Science"},{"key":"8_CR14","unstructured":"Smailovi\u0107, J., Gr\u010dar, M., \u017dnidar\u0161i\u010d, M., Lavra\u010d, N.: Sentiment analysis on tweets in a financial domain. In: 4th Jo\u017eef Stefan International Postgraduate School Students Conference, pp. 169\u2013175 (2012)"},{"key":"8_CR15","unstructured":"Das, S., Chen, M.: Yahoo! for Amazon: Extracting market sentiment from stock message boards. In: Proceedings of the 8th the Asia Pacific Finance Association Annual Conference, APFA (2001)"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Turney, P.: Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In: Proceedings of the Association for Computational Linguistics, pp. 417\u2013424 (2002)","DOI":"10.3115\/1073083.1073153"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Liu, B.: Sentiment Analysis and Opinion Mining. Morgan and Claypool Publishers (2012)","DOI":"10.2200\/S00416ED1V01Y201204HLT016"},{"key":"8_CR18","unstructured":"Go, A., Bhayani, R., Huang, L.: Twitter Sentiment Classification using Distant Supervision. In: CS224N Project Report, Stanford (2009)"},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Read, J.: Using emoticons to reduce dependency in machine learning techniques for sentiment classification. In: Proceedings of the ACL Student Research Workshop, pp. 43\u201348 (2005)","DOI":"10.3115\/1628960.1628969"},{"key":"8_CR20","unstructured":"Agarwal, A., Xie, B., Vovsha, I., Rambow, O., Passonneau, R.: Sentiment analysis of twitter data. In: Proceedings of the Workshop on Languages in Social Media, pp. 30\u201338 (2011)"},{"key":"8_CR21","doi-asserted-by":"crossref","unstructured":"Feldman, R., Sanger, J.: The Text Mining Handbook - Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press (2007)","DOI":"10.1017\/CBO9780511546914"},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up?: sentiment classification using machine learning techniques. In: Proceedings of the ACL-2002 Conference on Empirical Methods in Natural Language Processing, vol.\u00a010, pp. 79\u201386 (2002)","DOI":"10.3115\/1118693.1118704"},{"key":"8_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1007\/BFb0026683","volume-title":"Machine Learning: ECML-98","author":"T. Joachims","year":"1998","unstructured":"Joachims, T.: Text Categorization with Support Vector Machines: Learning with Many Relevant Features. In: N\u00e9dellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol.\u00a01398, pp. 137\u2013142. Springer, Heidelberg (1998)"},{"issue":"1-2","key":"8_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/1500000011","volume":"2","author":"B. Pang","year":"2008","unstructured":"Pang, B., Lee, L.: Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval\u00a02(1-2), 1\u2013135 (2008)","journal-title":"Foundations and Trends in Information Retrieval"},{"key":"8_CR25","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The Nature of Statistical Learning Theory","author":"V. Vapnik","year":"1995","unstructured":"Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995)"},{"key":"8_CR26","first-page":"273","volume":"20","author":"C. Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.N.: Support-Vector Networks. Machine Learning\u00a020, 273\u2013297 (1995)","journal-title":"Machine Learning"},{"issue":"1","key":"8_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/505282.505283","volume":"34","author":"F. Sebastiani","year":"2002","unstructured":"Sebastiani, F.: Machine learning in automated text categoriztion. ACM Computing Surveys (CSUR)\u00a034(1), 1\u201347 (2002)","journal-title":"ACM Computing Surveys (CSUR)"},{"issue":"3","key":"8_CR28","first-page":"27","volume":"2","author":"C.C. Chang","year":"2011","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology (TIST)\u00a02(3), 27 (2011)","journal-title":"ACM Transactions on Intelligent Systems and Technology (TIST)"},{"key":"8_CR29","doi-asserted-by":"publisher","first-page":"424","DOI":"10.2307\/1912791","volume":"37","author":"C.W.J. Granger","year":"1969","unstructured":"Granger, C.W.J.: Investigating causal relations by econometric models and cross-spectral methods. Econometrica\u00a037, 424\u2013438 (1969)","journal-title":"Econometrica"},{"issue":"3","key":"8_CR30","first-page":"203","volume":"50","author":"M.J. Schervish","year":"1996","unstructured":"Schervish, M.J.: P Values: What They Are and What They Are Not. The American Statistician\u00a050(3), 203\u2013206 (1996)","journal-title":"The American Statistician"}],"container-title":["Lecture Notes in Computer Science","Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-39146-0_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,2]],"date-time":"2023-07-02T17:04:00Z","timestamp":1688317440000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-39146-0_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642391453","9783642391460"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-39146-0_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}