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Dellarocas, \u201cThe digitization of word of mouth: Promise and challenges of online feedback mechanisms,\u201d Management Science, vol.49, no.10, pp.1407-1424, 2003. 10.1287\/mnsc.49.10.1407.17308","DOI":"10.1287\/mnsc.49.10.1407.17308"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] Z. Jin, Q. Li, D.D. Zeng, Y. Zhan, R. Liu, L. Wang, and H. Ma, \u201cJointly modeling review content and aspect ratings for review rating prediction,\u201d Proc. 39th International ACM SIGIR Conf. on Research and Development in Information Retrieval, Pisa, Italy, pp.893-896, 2016. 10.1145\/2911451.2914692","DOI":"10.1145\/2911451.2914692"},{"key":"3","unstructured":"[3] J.B. Horrigan, \u201cOnline shopping,\u201d PEW INTERNET & AMERICAN LIFE PROJECT, 2008."},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] B. Wang, Y. Min, Y. Huang, X. Li, and F. Wu, \u201cReview rating prediction based on the content and weighting strong social relation of reviewers,\u201d Proc. 2013 International Workshop on Mining Unstructured Big Data Using Natural Language Processing, San Francisco, California, USA, pp.23-30, 2013. 10.1145\/2513549.2513554","DOI":"10.1145\/2513549.2513554"},{"key":"5","doi-asserted-by":"publisher","unstructured":"[5] B. Pang and L. Lee, \u201cOpinion mining and sentiment analysis,\u201d Foundations and Trends in Information Retrieval, vol.2, no.1-2, pp.1-135, 2008. 10.1561\/1500000011","DOI":"10.1561\/1500000011"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] M. Angioni, M.L. Clemente, and F. Tuveri, \u201cCombining opinion mining with collaborative filtering,\u201d Proc. 11th International Conf. on Web Information Systems and Technologies, pp.370-380, 2015. 10.5220\/0005412403700380","DOI":"10.5220\/0005412403700380"},{"key":"7","unstructured":"[7] J. Linshi, \u201cPersonalizing yelp star ratings: A semantic topic modeling approach,\u201d Yale University, 2014."},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] M. McPherson, L. Smith-Lovin, and J.M. Cook, \u201cBirds of a feather: Homophily in social networks,\u201d Annual Review of Sociology, vol.27, no.1, pp.415-444, 2001. 10.1146\/annurev.soc.27.1.415","DOI":"10.1146\/annurev.soc.27.1.415"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] S. Moghaddam and M. Ester, \u201cILDA: Interdependent LDA model for learning latent aspects and their ratings from online product reviews,\u201d SIGIR, Beijing, China, pp.665-674, 2011. 10.1145\/2009916.2010006","DOI":"10.1145\/2009916.2010006"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] Y. Lu, P. Tsaparas, A. Ntoulas, and L. Polanyi, \u201cExploiting social context for review quality prediction,\u201d Proc. 19th International Conf. on World Wide Web, pp.691-700, 2010. 10.1145\/1772690.1772761","DOI":"10.1145\/1772690.1772761"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] L. Hu, A. Sun, and Y. Liu, \u201cYour neighbors affect your ratings: On geographical neighborhood influence to rating prediction,\u201d Proc. 37th International ACM SIGIR Conf. on Research & Development in Information Retrieval, Gold Coast, Queensland, Australia, pp.345-354, 2014. 10.1145\/2600428.2609593","DOI":"10.1145\/2600428.2609593"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] C. Tan, L. Lee, J. Tang, L. Jiang, M. Zhou, and P. Li, \u201cUser-level sentiment analysis incorporating social networks,\u201d Proc. KDD, pp.1397-1405, 2011. 10.1145\/2020408.2020614","DOI":"10.1145\/2020408.2020614"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] J.K.-C. Chung, C.-E. Wu, and R.T.-H. Tsai, \u201cPolarity detection of online reviews using sentiment concepts,\u201d Semantic Web Evaluation Challenge, Communications in Computer and Information Science, vol.475, pp.53-58, Springer, 2014. 10.1007\/978-3-319-12024-9_7","DOI":"10.1007\/978-3-319-12024-9_7"},{"key":"14","unstructured":"[14] A.Z.H. Khan, M. Atique, and V.M. Thakare, \u201cCombining lexicon-based and learning-based methods for twitter sentiment analysis,\u201d IJECSCSE, pp.89-91, 2015."},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] M. Devaraj, R. Piryani, and V.K. Singh, \u201cLexicon ensemble and lexicon pooling for sentiment polarity detection,\u201d IETE Technical Review, vol.33, no.3, pp.332-340, 2016. 10.1080\/02564602.2015.1073572","DOI":"10.1080\/02564602.2015.1073572"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] F.H. Khan, U. Qamar, and S. 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Onai, \u201cRating prediction using feature words extracted from customer reviews,\u201d Proc. 34th International ACM SIGIR Conf. on Research and Development in Information Retrieval, Beijing, China, pp.1205-1206, 2011. 10.1145\/2009916.2010121","DOI":"10.1145\/2009916.2010121"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] S. Mukherjee, G. Basu, and S. Joshi, \u201cIncorporating author preference in sentiment rating prediction of reviews,\u201d Proc. 22nd International Conf. on World Wide Web, Rio de Janeiro, Brazil, pp.47-48, 2013. 10.1145\/2487788.2487805","DOI":"10.1145\/2487788.2487805"},{"key":"21","unstructured":"[21] W. Gao, N. Yoshinaga, N. Kaji, and M. Kitsuregawa, \u201cModeling user leniency and product popularity for sentiment classification,\u201d International Joint Conf. on Natural Language Processing, Nagoya, Japan, pp.1107-1111, 2013."},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] Y. Wu and M. Ester, \u201cFlame: A probabilistic model combining aspect based opinion mining and collaborative filtering,\u201d Proc. Eighth ACM International Conf. on Web Search and Data Mining, pp.199-208, 2015. 10.1145\/2684822.2685291","DOI":"10.1145\/2684822.2685291"},{"key":"23","doi-asserted-by":"publisher","unstructured":"[23] H. Xie and J.C.S. Lui, \u201cMathematical modeling and analysis of product rating with partial information,\u201d ACM Trans. Knowledge Discovery from Data, vol.9, no.4, pp.1-33, 2015. 10.1145\/2700386","DOI":"10.1145\/2700386"},{"key":"24","unstructured":"[24] D. Tang, B. Qin, T. Liu, and Y. Yang, \u201cUser modeling with neural network for review rating prediction,\u201d Proc. Twenty-Fourth International Joint Conf. on Artificial Intelligence, pp.1340-1346, 2015."},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] D. Tang, B. Qin, and T. 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