{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:52:52Z","timestamp":1742939572163,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319937007"},{"type":"electronic","value":"9783319937014"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-93701-4_16","type":"book-chapter","created":{"date-parts":[[2018,6,11]],"date-time":"2018-06-11T11:49:52Z","timestamp":1528717792000},"page":"206-220","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Topic-Based Microblog Polarity Classification Based on Cascaded Model"],"prefix":"10.1007","author":[{"given":"Quanchao","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yangfan","family":"Lei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangpeng","family":"Wei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangyong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Bi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,12]]},"reference":[{"issue":"6","key":"16_CR1","first-page":"391","volume":"41","author":"S Deerwester","year":"1990","unstructured":"Deerwester, S., Dumais, S.T., Furnas, G.W., et al.: Indexing by latent semantic analysis. J. Assoc. Inf. Sci. Technol. 41(6), 391\u2013407 (1990)","journal-title":"J. Assoc. Inf. Sci. Technol."},{"key":"16_CR2","doi-asserted-by":"crossref","unstructured":"Hofmann, T.: Probabilistic latent semantic indexing. In: International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 50\u201357. ACM (1999)","DOI":"10.1145\/312624.312649"},{"key":"16_CR3","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. Arch. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res. Arch."},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"Blei, D.M., Lafferty, J.D.: Dynamic topic models. In: International Conference, DBLP, pp. 113\u2013120 (2006)","DOI":"10.1145\/1143844.1143859"},{"key":"16_CR5","unstructured":"Boydgraber, J., Blei, D.M.: Syntactic topic models. In: Advances in Neural Information Processing Systems, pp. 185\u2013192 (2008)"},{"key":"16_CR6","unstructured":"Nallapati, R., Cohen, W.: Link-PLSA-LDA: a new unsupervised model for topics and influence of blogs. In: ICWSM (2008)"},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Sun, C., Gao, B., Cao, Z., et al.: HTM: a topic model for hypertexts. In: Conference on Empirical Methods in Natural Language Processing, pp. 514\u2013522. Association for Computational Linguistics (2008)","DOI":"10.3115\/1613715.1613779"},{"key":"16_CR8","unstructured":"Go, A., Bhayani, R., Huang, L.: Twitter sentiment classification using distant supervision. CS224N Project report, Stanford (2009)"},{"key":"16_CR9","unstructured":"Barbosa, L., Feng, J.: Robust sentiment detection on Twitter from biased and noisy data. In: Proceedings of COLING 2010 Beijing, China, pp. 36\u201344 (2010)"},{"key":"16_CR10","unstructured":"Long, J., Yu, M., Zhou, M., et al.: Target-dependent Twitter sentiment classification. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, Portland, Oregon, pp. 151\u2013160 (2011)"},{"issue":"10","key":"16_CR11","first-page":"1713","volume":"46","author":"W Du","year":"2009","unstructured":"Du, W., Tan, S., Yun, X., et al.: A new method to compute semantic orientation. J. Comput. Res. Dev. 46(10), 1713\u20131720 (2009)","journal-title":"J. Comput. Res. Dev."},{"key":"16_CR12","unstructured":"Liu, Q., Feng, C., Huang, H.: Emotional tendency identification for micro-blog topics based on multiple characteristics. In: 26th Pacific Asia Conference on Language, Information and Computation (PACLIC 26), pp. 280\u2013288 (2012)"},{"issue":"5","key":"16_CR13","first-page":"855","volume":"48","author":"S Wang","year":"2011","unstructured":"Wang, S., Li, D., Wei, Y.: A method of text sentiment classification based on weighted rough membership. J. Comput. Res. Dev. 48(5), 855\u2013861 (2011)","journal-title":"J. Comput. Res. Dev."},{"key":"16_CR14","unstructured":"Agarwal, A., Xie, B., Vovsha, I., et al.: Sentiment analysis of Twitter data. In: Proceedings of the Workshop on Language in Social Media (LSM 2011), Portland, Oregon, pp. 30\u201338 (2011)"},{"issue":"10","key":"16_CR15","first-page":"1795","volume":"48","author":"C Zhang","year":"2011","unstructured":"Zhang, C., Sun, J., Ding, Y.: Topic mining for microblog based on MB-LDA model. J. Comput. Res. Dev. 48(10), 1795\u20131802 (2011)","journal-title":"J. Comput. Res. Dev."},{"key":"16_CR16","doi-asserted-by":"crossref","unstructured":"Yang, Z., Yang, D., Dyer, C., et al.: Hierarchical attention networks for document classification. In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 1480\u20131489 (2017)","DOI":"10.18653\/v1\/N16-1174"},{"issue":"6","key":"16_CR17","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., et al.: 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":"16_CR18","doi-asserted-by":"crossref","unstructured":"Hu, X., Tang, L., Tang, J., et al.: Exploiting social relation for sentiment analysis in microblogging. In: Proceedings of the 6th International Conference on Web Search and Data Mining. Rome, Italy, pp. 537\u2013546 (2013)","DOI":"10.1145\/2433396.2433465"},{"key":"16_CR19","first-page":"1","volume-title":"Encyclopedia of Social Network Analysis and Mining","author":"Preslav Nakov","year":"2017","unstructured":"Nakov, P.: Semantic sentiment analysis of Twitter data. arXiv preprint arXiv:1710.01492 (2017)"},{"key":"16_CR20","unstructured":"Wang, B., Liakata, M., Tsakalidis, A., et al.: TOTEMSS: topic-based, temporal sentiment summarisation for Twitter. In: Proceedings of the IJCNLP 2017, System Demonstrations, pp. 21\u201324 (2017)"}],"container-title":["Lecture Notes in Computer Science","Computational Science \u2013 ICCS 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93701-4_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,11]],"date-time":"2022-06-11T00:10:50Z","timestamp":1654906250000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-93701-4_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319937007","9783319937014"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93701-4_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"12 June 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuxi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-computsci2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iccs-meeting.org\/iccs2018\/","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":"406","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":"148","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":"60","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":"36% - 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":"3","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","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)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}