{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:08:20Z","timestamp":1743124100807,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319306704"},{"type":"electronic","value":"9783319306711"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-30671-1_53","type":"book-chapter","created":{"date-parts":[[2016,3,9]],"date-time":"2016-03-09T11:39:50Z","timestamp":1457523590000},"page":"682-688","source":"Crossref","is-referenced-by-count":2,"title":["Feedback or Research: Separating Pre-purchase from Post-purchase Consumer Reviews"],"prefix":"10.1007","author":[{"given":"Mehedi","family":"Hasan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Kotov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aravind","family":"Mohan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiyong","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul M.","family":"Stieg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"53_CR1","unstructured":"Barbosa, L., Feng, J.: Robust Sentiment detection on Twitter from biased and noisy data. In: Proceedings of the 23rd COLING, pp. 36\u201344 2010)"},{"key":"53_CR2","unstructured":"Bergsma, S., Post, M., Yarowsky, D.: Stylometric analysis of scientific articles. In: Proceedings of the NAACL-HLT, pp. 327\u2013337 (2012)"},{"key":"53_CR3","unstructured":"de Vel, O.Y., Corney, M.W., Anderson, A.M., Mohay, G.M.: Language and gender author cohort analysis of e-mail for computer forensics. In: Proceedings of the Digital Forensics Workshop (2002)"},{"key":"53_CR4","first-page":"1871","volume":"9","author":"RE Fan","year":"2008","unstructured":"Fan, R.E., Chang, K.W., Hsieh, C.J., Wang, X.R., Lin, C.J.: LIBLINEAR: a library for large linear classification. J. Mach. Learn. Res. 9, 1871\u20131874 (2008)","journal-title":"J. Mach. Learn. Res."},{"key":"53_CR5","doi-asserted-by":"crossref","unstructured":"Goldberg, A.B., Fillmore, N., Andrzejewski, D., Xu, Z., Gibson, B., Zhu, X.: May all your wishes come true: a study of wishes and how to recognize them. In: Proceedings of the NAACL-HLT, pp. 263\u2013271 (2009)","DOI":"10.3115\/1620754.1620793"},{"key":"53_CR6","doi-asserted-by":"crossref","unstructured":"Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of the 10th ACM SIGKDD, pp. 168\u2013177 (2004)","DOI":"10.1145\/1014052.1014073"},{"key":"53_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1007\/978-3-319-16354-3_44","volume-title":"Advances in Information Retrieval","author":"S Moghaddam","year":"2015","unstructured":"Moghaddam, S.: Beyond sentiment analysis: mining defects and improvements from customer feedback. In: Hanbury, A., Kazai, G., Rauber, A., Fuhr, N. (eds.) ECIR 2015. LNCS, vol. 9022, pp. 400\u2013410. Springer, Heidelberg (2015)"},{"issue":"1\u20132","key":"53_CR8","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. Found. Trends Inf. Retrieval 2(1\u20132), 1\u2013135 (2008)","journal-title":"Found. Trends Inf. Retrieval"},{"key":"53_CR9","unstructured":"Ramanand, J., Bhavsar, K., Pedanekar, N.: Wishful thinking: finding suggestions and \u2018buy\u2019 wishes from product reviews. In: Proceedings of the NAACL-HLT Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, pp. 54\u201361 (2010)"},{"key":"53_CR10","unstructured":"Titov, I., McDonald, R.T.: A joint model of text and aspect ratings for sentiment summarization. In: Proceedings of the 46th ACL, pp. 308\u2013316 (2008)"},{"key":"53_CR11","doi-asserted-by":"crossref","unstructured":"Yang, Z., Kotov, A., Mohan, A., Lu, S.: Parametric and non-parametric user-aware sentiment topic models. In: Proceedings of the 38th ACM SIGIR, pp. 413\u2013422 (2015)","DOI":"10.1145\/2766462.2767758"},{"key":"53_CR12","unstructured":"Yu, J., Zha, Z.J., Wang, M., Chua, T.-S.: Aspect ranking: identifying important product aspects from online consumer reviews. In: Proceedings of the 49th ACL, pp. 1496\u20131505 (2011)"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-30671-1_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T13:53:58Z","timestamp":1559397238000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-30671-1_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319306704","9783319306711"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-30671-1_53","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}