{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T19:38:18Z","timestamp":1768592298540,"version":"3.49.0"},"publisher-location":"Berlin, Heidelberg","reference-count":33,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642403187","type":"print"},{"value":"9783642403194","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-40319-4_11","type":"book-chapter","created":{"date-parts":[[2013,8,23]],"date-time":"2013-08-23T05:17:52Z","timestamp":1377235072000},"page":"121-132","source":"Crossref","is-referenced-by-count":7,"title":["Parallel Sentiment Polarity Classification Method with Substring Feature Reduction"],"prefix":"10.1007","author":[{"given":"Yaowen","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaojun","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cunyan","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Shang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"11_CR1","volume-title":"Modern information retrieval","author":"R. Baeza-Yates","year":"1999","unstructured":"Baeza-Yates, R., Ribeiro-Neto, B.: Modern information retrieval. ACM press, New York (1999)"},{"key":"11_CR2","first-page":"993","volume":"3","author":"D.M. Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res.\u00a03, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Dzogang, F., Lesot, M.J., Rfqi, M., Meunier, B.B.: Early Fusion of Low Level Features for Emotion Mining. Biomedical Informatics Insights\u00a05 (2012)","DOI":"10.4137\/BII.S8973"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Choi, Y., Cardie, C., Riloff, E., Patwardhan, S.: Identifying sources of opinions with conditional random fields and extraction patterns. In: Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Vancouver, British Columbia, Canada, pp. 355\u2013362. Association for Computational Linguistics (October 2005)","DOI":"10.3115\/1220575.1220620"},{"key":"11_CR5","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1145\/1367497.1367513","volume-title":"WWW 2008: Proceeding of the 17th International Conference on World Wide Web","author":"I. Titov","year":"2008","unstructured":"Titov, I., McDonald, R.: Modeling online reviews 383 with multi-grain topic models. In: WWW 2008: Proceeding of the 17th International Conference on World Wide Web, pp. 111\u2013120. ACM, New York (2008)"},{"key":"11_CR6","unstructured":"Lin, C., He, Y.: Joint Sentiment\/Topic Model for Sentiment Analysis. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, pp. 375\u2013384"},{"key":"11_CR7","unstructured":"Boss, G., Malladi, P., Quan, D., et al.: Cloud computing. IBM white paper, 1369 (2007)"},{"key":"11_CR8","unstructured":"Liu, B.: Web Data Mining: Exploring Hyperlinks,Contents, and Usage Data (Data-Centric Systems and Applications). Springer (2007)"},{"key":"11_CR9","unstructured":"Liu, H.M.B.: Mining and summarizing customer reviews. In: Proceedings of the tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 168\u2013177 (2004)"},{"key":"11_CR10","unstructured":"Littman, T.P.M.: Unsupervised Learning of Semantic Orientation from a Hundred-Billion-Word Corpus, in Technical Report ERB-1094, National Research Council Canada (2002)"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Zhang, Z.Q., Li, Y.J., Ye, Q., Law, R.: Sentiment Classification for Chinese Product Reviews Using an Unsupervised Internet-based Method. In: Proceeding of International Conference on Management Science & Engineering, pp. 3\u20139 (2008)","DOI":"10.1109\/ICMSE.2008.4668885"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Wan, X.: Co-Training for Cross-Lingual Sentiment Classification. In: Wan, X. (ed.) Proceedings of the 47th Annual Meeting of the ACL and the 4th IJCNLP of the AFNLP, pp. 235\u2013243 (2009)","DOI":"10.3115\/1687878.1687913"},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Kim, S.-M., Hovy, E.: Determining the sentiment of opinions. In: COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics, Morristown, NJ, USA, p. 1367. Association for Computational Linguistics (2004)","DOI":"10.3115\/1220355.1220555"},{"key":"11_CR14","unstructured":"http:\/\/www.datatang.com\/member\/6880\/t02-p1"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment Classification Using Machine Learning Techniques. In: Proceedings of the EMNLP 2002, pp. 79\u201386 (2002)","DOI":"10.3115\/1118693.1118704"},{"key":"11_CR16","unstructured":"Michelle, T.M.:Machine Learning. McGraw-Hill Companies, Inc. (1997)"},{"key":"11_CR17","unstructured":"Blitzer, J., Dredze, M., Pereira, F.: Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In: Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, Prague, Czech Republic, pp. 440\u2013447. Association for Computational Linguistics (June 2007)"},{"issue":"12","key":"11_CR18","doi-asserted-by":"publisher","first-page":"1135","DOI":"10.1561\/1500000001","volume":"2","author":"B. Pang","year":"2008","unstructured":"Pang, B., Lee, L.: Opinion Mining and Sentiment Analysis. Foundations and TrendsR in Information Retrieval\u00a02(12), 1135c (2008), doi:10.1561\/1500000001","journal-title":"Foundations and TrendsR in Information Retrieval"},{"key":"11_CR19","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L.: Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In: Proceedings of the ACL, pp. 115\u2013124 (2005)","DOI":"10.3115\/1219840.1219855"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Li, J., Sun, M.: Experimental Study on Sentiment Classification of Chinese Review using Machine Learning Techniques. In: Proceedings of IEEE NLP-KE (2007)","DOI":"10.1109\/NLPKE.2007.4368061"},{"key":"11_CR21","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L.: A Sentimental Education:Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. In: Proceeding of ACL, pp. 271\u2013278 (2004)","DOI":"10.3115\/1218955.1218990"},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L.: Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In: Proceedings of the ACL, pp. 115\u2013124 (2005)","DOI":"10.3115\/1219840.1219855"},{"key":"11_CR23","doi-asserted-by":"crossref","unstructured":"Phyu Shein, K.P., Nyunt, T.T.S.: Sentiment classification based on Ontology and SVM Classifier. In: Proceedings of ICCSN, pp. 169\u2013172 (2010)","DOI":"10.1109\/ICCSN.2010.35"},{"issue":"8","key":"11_CR24","doi-asserted-by":"publisher","first-page":"9139","DOI":"10.1016\/j.eswa.2011.01.047","volume":"38","author":"Z.W. Zhai","year":"2011","unstructured":"Zhai, Z.W., Xu, H., Kang, B., Jia, P.: Exploiting effective features for Chinese sentiment classification. Expert. Syst. Appl.\u00a038(8), 9139\u20139146 (2011)","journal-title":"Expert. Syst. Appl."},{"key":"11_CR25","unstructured":"Liu, B.: Handbook of natural language processing. Sentiment Analysis and Subjectivity, 627\u2013667 (2010)"},{"key":"11_CR26","doi-asserted-by":"crossref","unstructured":"Raaijmakers, S., Kraaij, W.: A shallow approach to subjectivity classification. In: Proceedings of ICWSM, pp. 216\u2013217 (2008)","DOI":"10.1609\/icwsm.v2i1.18658"},{"issue":"4","key":"11_CR27","doi-asserted-by":"publisher","first-page":"2622","DOI":"10.1016\/j.eswa.2007.05.028","volume":"34","author":"S. Tan","year":"2008","unstructured":"Tan, S., Zhang, J.: An empirical study of sentiment analysis for chinese documents. Expert Systems with Applications\u00a034(4), 2622\u20132629 (2008)","journal-title":"Expert Systems with Applications"},{"key":"11_CR28","doi-asserted-by":"crossref","unstructured":"Pang, B., Lee, L.: A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In: ACL 2004: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, Morristown, NJ, USA, p. 271. Association for Computational Linguistics (2004)","DOI":"10.3115\/1218955.1218990"},{"key":"11_CR29","first-page":"474","volume-title":"Extracting key-Substring-group features for text classification","author":"D. Zhang","year":"2006","unstructured":"Zhang, D., Lee, W.: Extracting key-Substring-group features for text classification, pp. 474\u2013483. ACM, New York (2006)"},{"key":"11_CR30","unstructured":"Joachims, T.: A probabilistic analysis of the Rocchio algorithm with TF-IDF for text categorization. In: Proceedings of ICML, pp. 143\u2013151 (1997)"},{"issue":"5","key":"11_CR31","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1016\/0306-4573(88)90021-0","volume":"24","author":"G. Salton","year":"1988","unstructured":"Salton, G., Buckley, C.: Term Weighting Approaches in Automatic Text Retrieval. Information Processing and Management\u00a024(5), 513\u2013523 (1988)","journal-title":"Information Processing and Management"},{"key":"11_CR32","unstructured":"Rocchio: Relevance Feedback in Information Retrieval. In: Salton (ed.) The SMART Retrieval System: Experiments. In Automatic Document Processing, ch. 14, pages 313\u2013323. Prentice-Hall (1971)"},{"issue":"1","key":"11_CR33","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TIT.1967.1053964","volume":"13","author":"T.M. Cover","year":"1967","unstructured":"Cover, T.M., Hart, P.E.: Nearest neighbor pattern classification. IEEE Transactions on Information Theory\u00a013(1), 21\u201327 (1967)","journal-title":"IEEE Transactions on Information Theory"}],"container-title":["Lecture Notes in Computer Science","Trends and Applications in Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-40319-4_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T01:23:19Z","timestamp":1688433799000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-40319-4_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642403187","9783642403194"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-40319-4_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013]]}}}