{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:23:46Z","timestamp":1743053026860,"version":"3.40.3"},"publisher-location":"Cham","reference-count":47,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319181165"},{"type":"electronic","value":"9783319181172"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-18117-2_17","type":"book-chapter","created":{"date-parts":[[2015,4,9]],"date-time":"2015-04-09T08:56:54Z","timestamp":1428569814000},"page":"225-240","source":"Crossref","is-referenced-by-count":2,"title":["Inferring Aspect-Specific Opinion Structure in Product Reviews Using Co-training"],"prefix":"10.1007","author":[{"given":"Dave","family":"Carter","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diana","family":"Inkpen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"17_CR1","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1609\/aimag.v31i3.2303","volume":"31","author":"D. Ferrucci","year":"2010","unstructured":"Ferrucci, D., Brown, E., Chu-Carroll, J., Fan, J., Gondek, D., Kalyanpur, A.A., Lally, A., Murdock, J.W., Nyberg, E., Prager, J., et al.: Building watson: An overview of the deepqa project. AI Magazine\u00a031, 59\u201379 (2010)","journal-title":"AI Magazine"},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"Liu, B., Zhang, L.: A survey of opinion mining and sentiment analysis. In: Mining Text Data, pp. 415\u2013463. Springer (2012)","DOI":"10.1007\/978-1-4614-3223-4_13"},{"key":"17_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/S00416ED1V01Y201204HLT016","volume":"5","author":"B. Liu","year":"2012","unstructured":"Liu, B.: Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies\u00a05, 1\u2013167 (2012)","journal-title":"Synthesis Lectures on Human Language Technologies"},{"key":"17_CR4","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\u2013135 (2008)","journal-title":"Foundations and Trends in Information Retrieval"},{"key":"17_CR5","doi-asserted-by":"publisher","first-page":"1498","DOI":"10.1109\/TKDE.2010.188","volume":"23","author":"A. Ghose","year":"2011","unstructured":"Ghose, A., Ipeirotis, P.G.: Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE Transactions on Knowledge and Data Engineering\u00a023, 1498\u20131512 (2011)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"17_CR6","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1145\/1281192.1281202","volume-title":"Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2007","author":"N. Archak","year":"2007","unstructured":"Archak, N., Ghose, A., Ipeirotis, P.G.: Show me the money!: Deriving the pricing power of product features by mining consumer reviews. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2007, pp. 56\u201365. ACM, New York (2007)"},{"key":"17_CR7","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1145\/1014052.1014073","volume-title":"Proceedings of the Tenth ACM SIGKDD International 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: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2004, pp. 168\u2013177. ACM, New York (2004)"},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"Popescu, A.M., Etzioni, O.: Extracting product features and opinions from reviews. In: Natural Language Processing and Text Mining, pp. 9\u201328. Springer (2007)","DOI":"10.1007\/978-1-84628-754-1_2"},{"key":"17_CR9","first-page":"231","volume-title":"Proceedings of the 2008 International Conference on Web Search and Data Mining, WSDM 2008","author":"X. Ding","year":"2008","unstructured":"Ding, X., Liu, B., Yu, P.S.: A holistic lexicon-based approach to opinion mining. In: Proceedings of the 2008 International Conference on Web Search and Data Mining, WSDM 2008, pp. 231\u2013240. ACM, New York (2008)"},{"key":"17_CR10","unstructured":"Blitzer, J., Dredze, M., Pereira, F.: Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In: ACL, vol.\u00a07, pp. 440\u2013447 (2007)"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Nasukawa, T., Yi, J.: Sentiment analysis: Capturing favorability using natural language processing. In: Proceedings of the 2nd International Conference on Knowledge Capture, K-CAP 2003, pp. 70\u201377. ACM, New York (2003)","DOI":"10.1145\/945645.945658"},{"key":"17_CR12","unstructured":"Titov, I., McDonald, R.: A joint model of text and aspect ratings for sentiment summarization. In: Proc. ACL 2008: HLT, pp. 308\u2013316 (2008)"},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Titov, I., McDonald, R.: Modeling online reviews with multi-grain topic models. In: Proceedings of the 17th International Conference on World Wide Web, WWW 2008, pp. 111\u2013120. ACM, New York (2008)","DOI":"10.1145\/1367497.1367513"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Jo, Y., Oh, A.H.: Aspect and sentiment unification model for online review analysis. In: Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, WSDM 2011, pp. 815\u2013824. ACM, New York (2011)","DOI":"10.1145\/1935826.1935932"},{"key":"17_CR15","doi-asserted-by":"crossref","unstructured":"Mei, Q., Ling, X., Wondra, M., Su, H., Zhai, C.: Topic sentiment mixture: modeling facets and opinions in weblogs. In: Proceedings of the 16th International Conference on World Wide Web, pp. 171\u2013180. ACM (2007)","DOI":"10.1145\/1242572.1242596"},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Glance, N., Hurst, M., Nigam, K., Siegler, M., Stockton, R., Tomokiyo, T.: Deriving marketing intelligence from online discussion. In: Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, KDD 2005, pp. 419\u2013428. ACM, New York (2005)","DOI":"10.1145\/1081870.1081919"},{"key":"17_CR17","unstructured":"Brody, S., Elhadad, N.: An unsupervised aspect-sentiment model for online reviews. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT 2010, pp. 804\u2013812. Association for Computational Linguistics, Stroudsburg (2010)"},{"key":"17_CR18","doi-asserted-by":"crossref","unstructured":"Dave, K., Lawrence, S., Pennock, D.M.: Mining the peanut gallery: Opinion extraction and semantic classification of product reviews. In: Proceedings of the 12th International Conference on World Wide Web, WWW 2003, pp. 519\u2013528. ACM, New York (2003)","DOI":"10.1145\/775152.775226"},{"key":"17_CR19","doi-asserted-by":"crossref","unstructured":"Gamon, M., Aue, A., Corston-oliver, S., Ringger, E.: Pulse: Mining customer opinions from free text. In: Proc. of the 6th International Symposium on Intelligent Data Analysis, pp. 121\u2013132 (2005)","DOI":"10.1007\/11552253_12"},{"key":"17_CR20","doi-asserted-by":"crossref","unstructured":"Blum, A., Mitchell, T.: Combining labeled and unlabeled data with co-training. In: Proceedings of the Eleventh Annual Conference on Computational Learning Theory, COLT 1998, pp. 92\u2013100. ACM, New York (1998)","DOI":"10.1145\/279943.279962"},{"key":"17_CR21","unstructured":"Collins, M., Singer, Y.: Unsupervised models for named entity classification. In: Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, pp. 100\u2013110 (1999)"},{"key":"17_CR22","unstructured":"Goldman, S., Zhou, Y.: Enhancing supervised learning with unlabeled data. In: Proceedings of the 17th International Conference on Machine Learning, pp. 327\u2013334. Morgan Kaufmann (2000)"},{"key":"17_CR23","first-page":"375","volume":"1","author":"S. Dasgupta","year":"2002","unstructured":"Dasgupta, S., Littman, M.L., McAllester, D.: Pac generalization bounds for co-training. Advances in Neural Information Processing Systems\u00a01, 375\u2013382 (2002)","journal-title":"Advances in Neural Information Processing Systems"},{"key":"17_CR24","doi-asserted-by":"crossref","unstructured":"Abney, S.: Bootstrapping. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, ACL 2002, pp. 360\u2013367. Association for Computational Linguistics, Stroudsburg (2002)","DOI":"10.3115\/1073083.1073143"},{"key":"17_CR25","unstructured":"Wang, W., Zhou, Z.H.: Co-training with insufficient views. In: Asian Conference on Machine Learning, pp. 467\u2013482 (2013)"},{"key":"17_CR26","unstructured":"Balcan, M.F., Blum, A., Yang, K.: Co-training and expansion: Towards bridging theory and practice. In: Advances in Neural Information Processing Systems, pp. 89\u201396 (2004)"},{"key":"17_CR27","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1109\/TKDE.2010.158","volume":"23","author":"J. Du","year":"2011","unstructured":"Du, J., Ling, C.X., Zhou, Z.H.: When does cotraining work in real data? IEEE Trans. on Knowl. and Data Eng.\u00a023, 788\u2013799 (2011)","journal-title":"IEEE Trans. on Knowl. and Data Eng."},{"key":"17_CR28","doi-asserted-by":"crossref","unstructured":"Nigam, K., Ghani, R.: Analyzing the effectiveness and applicability of co-training. In: Proceedings of the Ninth International Conference on Information and Knowledge Management, CIKM 2000, pp. 86\u201393. ACM, New York (2000)","DOI":"10.1145\/354756.354805"},{"key":"17_CR29","doi-asserted-by":"crossref","unstructured":"Huang, J., Sayyad-Shirabad, J., Matwin, S., Su, J.: Improving multi-view semi-supervised learning with agreement-based sampling. Intell. Data Anal., 745\u2013761 (2012)","DOI":"10.3233\/IDA-2012-0549"},{"key":"17_CR30","unstructured":"Pierce, D., Cardie, C.: Limitations of co-training for natural language learning from large datasets. In: Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing, pp. 1\u20139 (2001)"},{"key":"17_CR31","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1007\/978-3-540-74958-5_42","volume-title":"Machine Learning: ECML 2007","author":"W. Wang","year":"2007","unstructured":"Wang, W., Zhou, Z.-H.: Analyzing co-training style algorithms. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladeni\u010d, D., Skowron, A. (eds.) ECML 2007. LNCS (LNAI), vol.\u00a04701, pp. 454\u2013465. Springer, Heidelberg (2007)"},{"key":"17_CR32","doi-asserted-by":"publisher","first-page":"587","DOI":"10.1162\/COLI_a_00061","volume":"37","author":"X. Wan","year":"2011","unstructured":"Wan, X.: Bilingual co-training for sentiment classification of chinese product reviews. Computational Linguistics\u00a037, 587\u2013616 (2011)","journal-title":"Computational Linguistics"},{"key":"17_CR33","doi-asserted-by":"crossref","unstructured":"Liu, S., Li, F., Li, F., Cheng, X., Shen, H.: Adaptive co-training svm for sentiment classification on tweets. In: Proceedings of the 22nd ACM International Conference on Conference on Information & Knowledge Management, CIKM 2013, pp. 2079\u20132088. ACM, New York (2013)","DOI":"10.1145\/2505515.2505569"},{"key":"17_CR34","doi-asserted-by":"crossref","unstructured":"Liu, S., Zhu, W., Xu, N., Li, F., Cheng, X.Q., Liu, Y., Wang, Y.: Co-training and visualizing sentiment evolvement for tweet events. In: Proceedings of the 22nd International Conference on World Wide Web Companion, WWW 2013 Companion, pp. 105\u2013106. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva (2013)","DOI":"10.1145\/2487788.2487836"},{"key":"17_CR35","doi-asserted-by":"crossref","unstructured":"Biyani, P., Caragea, C., Mitra, P., Zhou, C., Yen, J., Greer, G.E., Portier, K.: Co-training over domain-independent and domain-dependent features for sentiment analysis of an online cancer support community. In: Proceedings of the 2013 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, pp. 413\u2013417. ACM, New York (2013)","DOI":"10.1145\/2492517.2492606"},{"key":"17_CR36","unstructured":"Kiritchenko, S., Matwin, S.: Email classification with co-training. In: Proceedings of the 2001 Conference of the Centre for Advanced Studies on Collaborative Research, CASCON 2001, p. 8. IBM Press (2001)"},{"key":"17_CR37","doi-asserted-by":"crossref","unstructured":"Sarkar, A.: Applying co-training methods to statistical parsing. In: Proceedings of the Second Meeting of the North American Chapter of the Association for Computational Linguistics on Language Technologies, NAACL 2001, pp. 1\u20138. Association for Computational Linguistics, Stroudsburg (2001)","DOI":"10.3115\/1073336.1073359"},{"key":"17_CR38","unstructured":"Mihalcea, R.: Co-training and self-training for word sense disambiguation. In: Proceedings of the Conference on Computational Natural Language Learning, CoNLL 2004 (2004)"},{"key":"17_CR39","doi-asserted-by":"crossref","unstructured":"Ng, V., Cardie, C.: Bootstrapping coreference classifiers with multiple machine learning algorithms. In: Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing, EMNLP 2003, pp. 113\u2013120. Association for Computational Linguistics, Stroudsburg (2003)","DOI":"10.3115\/1119355.1119370"},{"key":"17_CR40","doi-asserted-by":"crossref","unstructured":"Clark, S., Curran, J.R., Osborne, M.: Bootstrapping pos taggers using unlabelled data. In: Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003, CONLL 2003, vol. 4, pp. 49\u201355. Association for Computational Linguistics, Stroudsburg (2003)","DOI":"10.3115\/1119176.1119183"},{"key":"17_CR41","doi-asserted-by":"crossref","unstructured":"Pontiki, M., Galanis, D., Pavlopoulos, J., Papageorgiou, H., Androutsopoulos, I., Manandhar, S.: Semeval-2014 task 4: Aspect based sentiment analysis. In: Proceedings of the International Workshop on Semantic Evaluation (SemEval) (2014)","DOI":"10.3115\/v1\/S14-2004"},{"key":"17_CR42","doi-asserted-by":"crossref","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology\u00a02, 27:1\u201327:27 (2011), \n                        http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm","DOI":"10.1145\/1961189.1961199"},{"key":"17_CR43","unstructured":"Ganu, G., Elhadad, N., Marian, A.: Beyond the stars: Improving rating predictions using review text content. In: Proceedings of the 12th International Workshop on the Web and Databases, WebDB 2009 (2009)"},{"key":"17_CR44","unstructured":"Nigam, K., Hurst, M.: Towards a robust metric of opinion. In: AAAI Spring Symposium on Exploring Attitude and Affect in Text, pp. 598\u2013603 (2004)"},{"key":"17_CR45","unstructured":"Wilson, T., Wiebe, J., Hwa, R.: Just how mad are you? finding strong and weak opinion clauses. In: Proceedings of AAAI, pp. 761\u2013769 (2004)"},{"key":"17_CR46","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1145\/944012.944013","volume":"21","author":"P.D. Turney","year":"2003","unstructured":"Turney, P.D., Littman, M.L.: Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems\u00a021, 315\u2013346 (2003)","journal-title":"ACM Transactions on Information Systems"},{"key":"17_CR47","doi-asserted-by":"crossref","unstructured":"Yarowsky, D.: Unsupervised word sense disambiguation rivaling supervised methods. In: Proceedings of the 33rd Annual Meeting on Association for Computational Linguistics, ACL 1995, pp. 189\u2013196. Association for Computational Linguistics, Stroudsburg (1995)","DOI":"10.3115\/981658.981684"}],"container-title":["Lecture Notes in Computer Science","Computational Linguistics and Intelligent Text Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-18117-2_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,10]],"date-time":"2023-02-10T07:54:58Z","timestamp":1676015698000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-18117-2_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319181165","9783319181172"],"references-count":47,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-18117-2_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]}}}