{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:44:58Z","timestamp":1767339898938,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030148140"},{"type":"electronic","value":"9783030148157"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-14815-7_33","type":"book-chapter","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T00:02:40Z","timestamp":1552867360000},"page":"393-405","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Measuring Hotel Review Sentiment: An Aspect-Based Sentiment Analysis Approach"],"prefix":"10.1007","author":[{"given":"Thang","family":"Tran","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hung","family":"Ba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Van-Nam","family":"Huynh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,3,7]]},"reference":[{"key":"33_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-73531-3","volume-title":"Machine Learning for Text","author":"CC Aggarwal","year":"2018","unstructured":"Aggarwal, C.C.: Machine Learning for Text. Springer, New York (2018). https:\/\/doi.org\/10.1007\/978-3-319-73531-3"},{"key":"33_CR2","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"33_CR3","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.eswa.2016.10.065","volume":"72","author":"T Chen","year":"2017","unstructured":"Chen, T., Xu, R., He, Y., Wang, X.: Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN. Expert. Syst. Appl. 72, 221\u2013230 (2017)","journal-title":"Expert. Syst. Appl."},{"key":"33_CR4","doi-asserted-by":"crossref","unstructured":"Duan, W., Cao, Q., Yu, Y., Levy, S.: Mining online user-generated content: using sentiment analysis technique to study hotel service quality. In: Proceedings of the 46th Hawaii International Conference on System Sciences, pp. 3119\u20133128 (2013)","DOI":"10.1109\/HICSS.2013.400"},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Guo, H., Zhu, H., Guo, Z., Zhang, X., Su, Z.: Product feature categorization with multilevel latent semantic association. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, pp. 1087\u20131096 (2009)","DOI":"10.1145\/1645953.1646091"},{"key":"33_CR6","doi-asserted-by":"crossref","unstructured":"Guo, H., Zhu, H., Guo, Z., Zhang, X., Su, Z.: Opinionit: a text mining system for cross-lingual opinion analysis. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, pp. 1199\u20131208 (2010)","DOI":"10.1145\/1871437.1871589"},{"issue":"2","key":"33_CR7","first-page":"279","volume":"89","author":"H Khang","year":"2012","unstructured":"Khang, H., Ki, E.J., Ye, L.: Social media research in advertising, communication, marketing, and public relations, 1997\u20132010. J. Mass Commun. Q. 89(2), 279\u2013298 (2012)","journal-title":"J. Mass Commun. Q."},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Kim, Y.: Convolutional neural networks for sentence classification. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1746\u20131751 (2014)","DOI":"10.3115\/v1\/D14-1181"},{"key":"33_CR9","doi-asserted-by":"crossref","unstructured":"Lample, G., Ballesteros, M., Subramanian, S., Kawakami, K., Dyer, C.: Neural architectures for named entity recognition. In: Proceedings of NAACL-HLT, pp. 260\u2013270 (2016)","DOI":"10.18653\/v1\/N16-1030"},{"key":"33_CR10","doi-asserted-by":"publisher","DOI":"10.2200\/S00416ED1V01Y201204HLT016","volume-title":"Sentiment Analysis and Opinion Mining","author":"B Liu","year":"2012","unstructured":"Liu, B.: Sentiment Analysis and Opinion Mining. Morgan & Claypool Publishers, San Rafael (2012)"},{"key":"33_CR11","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1007\/978-3-319-28231-2_30","volume-title":"Information and Communication Technologies in Tourism 2016","author":"T Menner","year":"2016","unstructured":"Menner, T., H\u00f6pken, W., Fuchs, M., Lexhagen, M.: Topic detection: identifying relevant topics in tourism reviews. In: Inversini, A., Schegg, R. (eds.) Information and Communication Technologies in Tourism 2016, pp. 411\u2013423. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-28231-2_30"},{"key":"33_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35560-8","volume-title":"Business Intelligence","author":"RM M\u00fcller","year":"2013","unstructured":"M\u00fcller, R.M., Lenz, H.-J.: Business Intelligence. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-35560-8"},{"issue":"1","key":"33_CR13","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/s40558-017-0079-2","volume":"17","author":"J Neidhardt","year":"2017","unstructured":"Neidhardt, J., R\u00fcmmele, N., Werthner, H.: Predicting happiness: user interactions and sentiment analysis in an online travel forum. Inf. Technol. Tour. 17(1), 101\u2013119 (2017)","journal-title":"Inf. Technol. Tour."},{"key":"33_CR14","unstructured":"Newman, D., Lau, J.H., Grieser, K., Baldwin, T.: Automatic evaluation of topic coherence. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp. 100\u2013108 (2010)"},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"Nguyen, H., Shirai, K.: A joint model of term extraction and polarity classification for aspect-based sentiment analysis. In: Proceedings of the 10th International Conference on Knowledge and Systems Engineering (KSE), pp. 323\u2013328 (2018)","DOI":"10.1109\/KSE.2018.8573340"},{"key":"33_CR16","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/978-3-319-03973-2_19","volume-title":"Information and Communication Technologies in Tourism 2014","author":"S Schmunk","year":"2013","unstructured":"Schmunk, S., H\u00f6pken, W., Fuchs, M., Lexhagen, M.: Sentiment analysis: extracting decision-relevant knowledge from UGC. In: Xiang, Z., Tussyadiah, I. (eds.) Information and Communication Technologies in Tourism 2014, pp. 253\u2013265. Springer, Cham (2013). https:\/\/doi.org\/10.1007\/978-3-319-03973-2_19"},{"key":"33_CR17","series-title":"Tourism on the Verge","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44263-1","volume-title":"Analytics in Smart Tourism Design","year":"2017","unstructured":"Xiang, Z., Fesenmaier, D.R. (eds.): Analytics in Smart Tourism Design. TV. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-44263-1"},{"key":"33_CR18","unstructured":"Zhai, Z., Liu, B., Xu, H., Jia, P.: Grouping product features using semi-supervised learning with soft-constraints. In: Proceedings of the 23rd International Conference on Computational Linguistics, pp. 1272\u20131280 (2010)"}],"container-title":["Lecture Notes in Computer Science","Integrated Uncertainty in Knowledge Modelling and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-14815-7_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T12:15:11Z","timestamp":1709813711000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-14815-7_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030148140","9783030148157"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-14815-7_33","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"7 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IUKM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nara","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 March 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 March 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iukm2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www-inulab.sys.es.osaka-u.ac.jp\/iukm2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"93","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"37","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}