{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T23:09:15Z","timestamp":1725750555774},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642408960"},{"type":"electronic","value":"9783642408977"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-40897-7_23","type":"book-chapter","created":{"date-parts":[[2013,9,29]],"date-time":"2013-09-29T20:50:20Z","timestamp":1380487820000},"page":"340-355","source":"Crossref","is-referenced-by-count":3,"title":["Extracting Opinionated (Sub)Features from a Stream of Product Reviews"],"prefix":"10.1007","author":[{"given":"Max","family":"Zimmermann","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eirini","family":"Ntoutsi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myra","family":"Spiliopoulou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., Han, J., Wang, J., Yu, P.S.: A framework for clustering evolving data streams. In: VLDB (2003)","DOI":"10.1016\/B978-012722442-8\/50016-1"},{"key":"23_CR2","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., Yu, P.S.: A framework for clustering massive text and categorical data streams. In: SDM (2006)","DOI":"10.1137\/1.9781611972764.44"},{"key":"23_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-16184-1_1","volume-title":"Discovery Science","author":"A. Bifet","year":"2010","unstructured":"Bifet, A., Frank, E.: Sentiment knowledge discovery in twitter streaming data. In: Pfahringer, B., Holmes, G., Hoffmann, A. (eds.) DS 2010. LNCS, vol.\u00a06332, pp. 1\u201315. Springer, Heidelberg (2010)"},{"key":"23_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1007\/978-3-642-24477-3_7","volume-title":"Discovery Science","author":"A. Bifet","year":"2011","unstructured":"Bifet, A., Holmes, G., Pfahringer, B.: MOA-TweetReader: Real-time analysis in twitter streaming data. In: Elomaa, T., Hollm\u00e9n, J., Mannila, H. (eds.) DS 2011. LNCS, vol.\u00a06926, pp. 46\u201360. Springer, Heidelberg (2011)"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Cao, F., Ester, M., Qian, W., Zhou, A.: Density-based clustering over an evolving data stream with noise. In: SDM (2006)","DOI":"10.1137\/1.9781611972764.29"},{"key":"23_CR6","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1145\/1557019.1557060","volume-title":"Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2009","author":"J.A. Gama","year":"2009","unstructured":"Gama, J.A., Sebasti\u00e3o, R., Rodrigues, P.P.: Issues in evaluation of stream learning algorithms. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2009, pp. 329\u2013338. ACM, New York (2009)"},{"issue":"3","key":"23_CR7","first-page":"515","volume":"15","author":"S. Guha","year":"2003","unstructured":"Guha, S., Meyerson, A., Mishra, N., Motwani, R., O\u2019Callaghan, L.: Clustering data streams: Theory and practice. IEEE TKDE\u00a015(3), 515\u2013528 (2003)","journal-title":"IEEE TKDE"},{"key":"23_CR8","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1145\/1014052.1014073","volume-title":"Proc. of the Tenth ACM SIGKDD Int\u2019l. Conference on Knowledge Discovery and Data Mining, KDD 2004","author":"M. Hu","year":"2004","unstructured":"Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proc. of the Tenth ACM SIGKDD Int\u2019l. Conference on Knowledge Discovery and Data Mining, KDD 2004, pp. 168\u2013177. ACM, New York (2004)"},{"key":"23_CR9","unstructured":"Liu, B.: Opinion mining and summarization. Tutorial at the World Wide Web Conference (WWW), Beijing, China (2008)"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Liu, B.: Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies. Morgan & Claypool Publishers (2012)","DOI":"10.2200\/S00416ED1V01Y201204HLT016"},{"key":"23_CR11","unstructured":"Long, C., Zhang, J., Zhut, X.: A review selection approach for accurate feature rating estimation. In: Proc. of the 23rd Int\u2019l. Conference on Computational Linguistics, COLING 2010. Association for Computational Linguistics (2010)"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Moghaddam, S., Ester, M.: Opinion digger: an unsupervised opinion miner from unstructured product reviews. In: Proc. of the 19th ACM Int\u2019l. Conference on Information and Knowledge Management, CIKM 2010. ACM (2010)","DOI":"10.1145\/1871437.1871739"},{"key":"23_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1007\/978-3-642-28604-9_39","volume-title":"Computational Linguistics and Intelligent Text Processing","author":"S. Mukherjee","year":"2012","unstructured":"Mukherjee, S., Bhattacharyya, P.: Feature specific sentiment analysis for product reviews. In: Gelbukh, A. (ed.) CICLing 2012, Part I. LNCS, vol.\u00a07181, pp. 475\u2013487. Springer, Heidelberg (2012)"},{"key":"23_CR14","doi-asserted-by":"publisher","first-page":"79","DOI":"10.3115\/1118693.1118704","volume-title":"Proc. of the ACL 2002 Conference on Empirical Methods in Natural Language Processing, EMNLP 2002","author":"B. Pang","year":"2002","unstructured":"Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up?: sentiment classification using machine learning techniques. In: Proc. of the ACL 2002 Conference on Empirical Methods in Natural Language Processing, EMNLP 2002, pp. 79\u201386. Association for Computational Linguistics, Stroudsburg (2002)"},{"key":"23_CR15","first-page":"475","volume-title":"Proc. of the 34th Int\u2019l. ACM SIGIR Conference on Research and Development in Information Retrieval","author":"I.S. Silva","year":"2011","unstructured":"Silva, I.S., Gomide, J., Veloso, A., Meira Jr., W., Ferreira, R.: Effective sentiment stream analysis with self-augmenting training and demand-driven projection. In: Proc. of the 34th Int\u2019l. ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 475\u2013484. ACM, New York (2011)"},{"key":"23_CR16","unstructured":"Zhang, Y., Shen, D., Baudin, C.: Sentiment analysis in practice. Tutorial at the IEEE International Conference on Data Mining, Vancouver, Canada (2011)"},{"key":"23_CR17","doi-asserted-by":"crossref","unstructured":"Zhu, J., Wang, H., Tsou, B.K., Zhu, M.: Multi-aspect opinion polling from textual reviews. In: Proc. of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, pp. 1799\u20131802. ACM (2009)","DOI":"10.1145\/1645953.1646233"},{"key":"23_CR18","doi-asserted-by":"crossref","unstructured":"Zimmermann, M., Ntoutsi, E., Siddiqui, Z.F., Spiliopoulou, M., Kriegel, H.-P.: Discovering global and local bursts in a stream of news. In: Proc. of the 27th Annual ACM Symposium on Applied Computing, SAC 2012. ACM (2012)","DOI":"10.1145\/2245276.2245433"}],"container-title":["Lecture Notes in Computer Science","Discovery Science"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-40897-7_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T18:04:42Z","timestamp":1564164282000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-40897-7_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642408960","9783642408977"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-40897-7_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}