{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T08:03:51Z","timestamp":1726041831358},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030298937"},{"type":"electronic","value":"9783030298944"}],"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\/978-3-030-29894-4_46","type":"book-chapter","created":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T21:41:59Z","timestamp":1566510119000},"page":"568-581","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Weakly Supervised Joint Entity-Sentiment-Issue Model for Political Opinion Mining"],"prefix":"10.1007","author":[{"given":"Sandeepa","family":"Kannangara","sequence":"first","affiliation":[]},{"given":"Wayne","family":"Wobcke","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,23]]},"reference":[{"key":"46_CR1","unstructured":"Bakliwal, A., Foster, J., van der Puil, J., O\u2019Brien, R., Tounsi, L., Hughes, M.: Sentiment analysis of political tweets: Towards an accurate classifier. In: Proceedings of the Workshop on Language Analysis in Social Media, pp. 49\u201358 (2013)"},{"key":"46_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":"46_CR3","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.knosys.2018.02.012","volume":"147","author":"X Fu","year":"2018","unstructured":"Fu, X., Sun, X., Wu, H., Cui, L., Huang, J.Z.: Weakly supervised topic sentiment joint model with word embeddings. Knowl.-Based Syst. 147, 43\u201354 (2018)","journal-title":"Knowl.-Based Syst."},{"issue":"C","key":"46_CR4","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.neucom.2016.10.086","volume":"253","author":"F Huang","year":"2017","unstructured":"Huang, F., Zhang, S., Zhang, J., Yu, G.: Multimodal learning for topic sentiment analysis in microblogging. Neurocomputing 253(C), 144\u2013153 (2017)","journal-title":"Neurocomputing"},{"key":"46_CR5","unstructured":"Jakob, N., Gurevych, I.: Extracting opinion targets in a single-and cross-domain setting with conditional random fields. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp. 1035\u20131045 (2010)"},{"key":"46_CR6","doi-asserted-by":"crossref","unstructured":"Kim, S., Zhang, J., Chen, Z., Oh, A., Liu, S.: A hierarchical aspect-sentiment model for online reviews. In: Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, pp. 526\u2013533 (2013)","DOI":"10.1609\/aaai.v27i1.8700"},{"key":"46_CR7","unstructured":"Lewis, D.D., Ringuette, M.: A comparison of two learning algorithms for text categorization. In: Proceedings of the Third Annual Symposium on Document Analysis and Information Retrieval, pp. 81\u201393 (1994)"},{"key":"46_CR8","doi-asserted-by":"crossref","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 (2009)","DOI":"10.1145\/1645953.1646003"},{"issue":"6","key":"46_CR9","doi-asserted-by":"publisher","first-page":"1134","DOI":"10.1109\/TKDE.2011.48","volume":"24","author":"C Lin","year":"2012","unstructured":"Lin, C., He, Y., Everson, R., Ruger, S.: Weakly supervised joint sentiment-topic detection from text. IEEE Trans. Knowl. Data Eng. 24(6), 1134\u20131145 (2012)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"46_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":"46_CR11","unstructured":"Liu, K., Xu, L., Zhao, J.: Opinion target extraction using word-based translation model. In: Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 1346\u20131356 (2012)"},{"key":"46_CR12","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to Information Retrieval","author":"CD Manning","year":"2008","unstructured":"Manning, C.D., Raghavan, P., Sch\u00fctze, H.: Introduction to Information Retrieval. Cambridge University Press, New York (2008)"},{"key":"46_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1007\/978-3-642-25953-1_8","volume-title":"The Semantic Web: ESWC 2011 Workshops","author":"D Maynard","year":"2012","unstructured":"Maynard, D., Funk, A.: Automatic detection of political opinions in tweets. In: Garc\u00eda-Castro, R., Fensel, D., Antoniou, G. (eds.) ESWC 2011. LNCS, vol. 7117, pp. 88\u201399. Springer, Heidelberg (2012)"},{"issue":"3","key":"46_CR14","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1111\/j.1467-8640.2012.00460.x","volume":"29","author":"SM Mohammad","year":"2013","unstructured":"Mohammad, S.M., Turney, P.D.: Crowdsourcing a word-emotion association lexicon. Comput. Intell. 29(3), 436\u2013465 (2013)","journal-title":"Comput. Intell."},{"key":"46_CR15","doi-asserted-by":"crossref","unstructured":"Paul, M., Girju, R.: A two-dimensional topic-aspect model for discovering multi-faceted topics. In: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, pp. 545\u2013550 (2010)","DOI":"10.1609\/aaai.v24i1.7669"},{"key":"46_CR16","unstructured":"Socher, R., et al.: Recursive deep models for semantic compositionality over a sentiment treebank. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 1631\u20131642 (2013)"},{"issue":"1","key":"46_CR17","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1002\/asi.21662","volume":"63","author":"M Thelwall","year":"2012","unstructured":"Thelwall, M., Buckley, K., Paltoglou, G.: Sentiment strength detection for the social web. J. Am. Soc. Inform. Sci. Technol. 63(1), 163\u2013173 (2012)","journal-title":"J. Am. Soc. Inform. Sci. Technol."},{"key":"46_CR18","doi-asserted-by":"crossref","unstructured":"Vijayaraghavan, P., Vosoughi, S., Roy, D.: Automatic detection and categorization of election-related tweets. In: Proceedings of the Tenth International AAAI Conference on Web and Social Media, pp. 703\u2013706 (2016)","DOI":"10.1609\/icwsm.v10i1.14816"},{"key":"46_CR19","unstructured":"Zhao, W.X., Jiang, J., Yan, H., Li, X.: Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp. 56\u201365 (2010)"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2019: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29894-4_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,19]],"date-time":"2023-09-19T10:56:36Z","timestamp":1695120996000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-29894-4_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030298937","9783030298944"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29894-4_46","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":"23 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuvu, Yanuka Island","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fiji","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":"26 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}