acl acl2013 acl2013-81 acl2013-81-reference knowledge-graph by maker-knowledge-mining

81 acl-2013-Co-Regression for Cross-Language Review Rating Prediction


Source: pdf

Author: Xiaojun Wan

Abstract: The task of review rating prediction can be well addressed by using regression algorithms if there is a reliable training set of reviews with human ratings. In this paper, we aim to investigate a more challenging task of crosslanguage review rating prediction, which makes use of only rated reviews in a source language (e.g. English) to predict the rating scores of unrated reviews in a target language (e.g. German). We propose a new coregression algorithm to address this task by leveraging unlabeled reviews. Evaluation results on several datasets show that our proposed co-regression algorithm can consistently improve the prediction results. 1


reference text

Carmen Banea, Rada Mihalcea, Janyce Wiebe, and Samer Hassan. 2008. Multilingual subjectivity analysis using machine translation. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 127-135. John Blitzer, Mark Dredze, and Fernando Pereira. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Annual Meeting-Association For Computational Linguistics. Avrim Blum and Tom Mitchell. 1998. Combining labeled and unlabeled data with co-training. In Proceedings of the eleventh annual conference on Computational learning theory, pp. 92-100. Hang Cui, Vibhu Mittal, and Mayur Datar. 2006. Comparative experiments on sentiment classification for online product reviews. In Proceedings of the National Conference on Artificial Intelligence. Gayatree Ganu, Noemie Elhadad, and Amélie Marian. 2009. Beyond the stars: Improving rating predictions using review text content. In WebDB. Thorsten Joachims, 1999. Making large-Scale SVM Learning Practical. Advances in Kernel Methods Support Vector Learning, MIT-Press. CaneWing Leung, Stephen Chi Chan, and Fu Chung. 2006. Integrating collaborative filtering and sentiment analysis: A rating inference approach. In ECAI Workshop, pages 300–307. Fangtao Li, Nathan Liu, Hongwei Jin, Kai Zhao, Qiang Yang and Xiaoyan Zhu. 2011. Incorporating reviewer and product information for review rating prediction. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI201 1). Yue Lu, ChengXiang Zhai, Neel Sundaresan. 2009. Rated Aspect Summarization of Short Comments. Proceedings of the World Wide Conference 2009 ( WWW'09), pages 13 1-140. Bin Lu, Chenhao Tan, Claire Cardie, Ka Yin Benjamin TSOU. 201 1a. Joint bilingual sentiment classification with unlabeled parallel corpora. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp. 320-330. Bin Lu, Myle Ott, Claire Cardie and Benjamin K. Tsou. 201 1b. Multi-aspect sentiment analysis with topic models. In Proceedings of Data Minig Workshps (ICDMW), 2011 IEEE 11th InternaRada Mihalcea, Carmen Banea, and Janyce Wiebe. 2007. Learning multilingual subjective language via cross-lingual projections. In Proceedings of ACL-2007. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? sentiment classification using machine learning techniques. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, pp. 79-86, 2002. Bo Pang and Lillian Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In Proceedings of the ACL, pages 115–124. Peter Prettenhofer and Benno Stein. 2010. CrossLanguage Text Classification using Structural Correspondence Learning. In 48th Annual Meeting of the Association of Computational Linguistics (ACL 10), 1118-1 127. Lizhen Qu, Georgiana Ifrim, and Gerhard Weikum. 2010. The bag-of-opinions method for review rating prediction from sparse text patterns. In COLING, pages 913–921, Stroudsburg, PA, USA, 2010. ACL. Horacio Saggion, Elena Lloret, and Manuel Palomar. 2012. Can text summaries help predict ratings? a case study of movie reviews. Natural Language Processing and Information Systems (2012): 271276. Lei Shi, Rada Mihalcea, and Mingjun Tian. 2010. Cross language text classification by model translation and semi-supervised learning. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp. 1057-1067, 2010. Benjamin Snyder and Regina Barzilay. 2007. Multiple aspect ranking using the good grief algorithm. Proceedings of the Joint Human Language Technology/North American Chapter of the ACL Conference (HLT-NAACL). Ivan Titov and Ryan McDonald. 2008. A joint model of text and aspect ratings for sentiment summarization. In Proceedings of ACL-08:HLT, pages 3083 16. Peter D. Turney. 2002. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pp. 417-424. Vladimir N. Vapnik, 1995. The Nature of Statistical Learning Theory. Springer. XinGtMfoeainxXatulMCre,oan Mgf,deorFdHenuorlcuefWorneg,pSiWe.nXa8tin1mago-8.ehn2ut0a,1ICLE2li.auEsC,.riMofscina-tgLioZn.hgouIan,l XiasACeo jnutLfimear Wn dtacnehl.aos24f0tih 9cIena.ti4eCor7n .th-aIrinoA PnariloncugJoeailndfotMnrCgesocnrtoifsegrt h-nleoicfJegoutihnaetl Proceedings of ACL-2012. 530 Natural Language Processing of the AFNLP, pp. 235-243. Hongning Wang, Yue Lu, ChengXiang Zhai. 2010. Latent Aspect Rating Analysis on Review Text Data: A Rating Regression Approach. Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10), pages 115-124. Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, and Muhua Zhu. 2009. Multi-aspect opinion polling from textual reviews. In Proceedings of the 18th ACM conference on Information and knowledge management, pp. 1799-1802. ACM. Zhi-Hua Zhou and Ming Li. 2005. Semi-supervised regression with co-training. In Proceedings of the 19th international joint conference on Artificial intelligence, pp. 908-913. Morgan Kaufmann Publishers Inc. 531