{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T06:12:43Z","timestamp":1763705563914,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030050894"},{"type":"electronic","value":"9783030050900"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-05090-0_29","type":"book-chapter","created":{"date-parts":[[2018,12,28]],"date-time":"2018-12-28T13:24:32Z","timestamp":1546003472000},"page":"339-352","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["LDA-PSTR: A Topic Modeling Method for Short Text"],"prefix":"10.1007","author":[{"given":"Kai","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Qun","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,12,29]]},"reference":[{"key":"29_CR1","doi-asserted-by":"crossref","unstructured":"Hofmann, T.: Probabilistic latent semantic indexing. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 50\u201357. ACM (1999)","DOI":"10.1145\/312624.312649"},{"issue":"Jan","key":"29_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(Jan), 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"issue":"2","key":"29_CR3","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1037\/0033-295X.114.2.211","volume":"114","author":"TL Griffiths","year":"2007","unstructured":"Griffiths, T.L., Steyvers, M., Tenenbaum, J.B.: Topics in semantic representation. Psychol. Rev. 114(2), 211 (2007)","journal-title":"Psychol. Rev."},{"key":"29_CR4","doi-asserted-by":"crossref","unstructured":"Hong, L., Davison, B.D.: Empirical study of topic modeling in Twitter. In: Proceedings of the First Workshop on Social Media Analytics, pp. 80\u201388. ACM (2010)","DOI":"10.1145\/1964858.1964870"},{"key":"29_CR5","doi-asserted-by":"crossref","unstructured":"Tang, J., Zhang, M., Mei, Q.: One theme in all views: modeling consensus topics in multiple contexts. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 5\u201313. ACM (2013)","DOI":"10.1145\/2487575.2487682"},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Wallach, H.M.: Topic modeling: beyond bag-of-words. In: Proceedings of the 23rd International Conference on Machine Learning, pp. 977\u2013984. ACM (2006)","DOI":"10.1145\/1143844.1143967"},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Wang, X., McCallum, A., Wei, X.: Topical n-grams: phrase and topic discovery, with an application to information retrieval. In: Seventh IEEE International Conference on Data Mining, pp. 697\u2013702. IEEE (2007)","DOI":"10.1109\/ICDM.2007.86"},{"key":"29_CR8","first-page":"147","volume":"18","author":"D Blei","year":"2006","unstructured":"Blei, D., Lafferty, J.: Correlated topic models. Adv. Neural Inf. Process. Syst. 18, 147 (2006)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"29_CR9","unstructured":"Teh, Y.W., Jordan, M.I., Beal, M.J.: Hierarchical Dirichlet processes. J. Am. Stat. Assoc. (2012)"},{"key":"29_CR10","unstructured":"Mcauliffe, J.D., Blei, D.M.: Supervised topic models. In: Advances in Neural Information Processing Systems, pp. 121\u2013128 (2008)"},{"issue":"1","key":"29_CR11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/meet.14504901385","volume":"49","author":"HD Kim","year":"2012","unstructured":"Kim, H.D., Park, D.H., Lu, Y.: Enriching text representation with frequent pattern mining for probabilistic topic modeling. Proc. Am. Soc. Inf. Sci. Technol. 49(1), 1\u201310 (2012)","journal-title":"Proc. Am. Soc. Inf. Sci. Technol."},{"key":"29_CR12","unstructured":"Mihalcea, R., Corley, C., Strapparava, C.: Corpus-based and knowledge-based measures of text semantic similarity. In: AAAI, vol. 6, pp. 775\u2013780 (2006)"},{"key":"29_CR13","doi-asserted-by":"crossref","unstructured":"Phan, X.H., Nguyen, L.M., Horiguchi, S.: Learning to classify short and sparse text & web with hidden topics from large-scale data collections. In: Proceedings of the 17th International Conference on World Wide Web, pp. 91\u2013100. ACM (2008)","DOI":"10.1145\/1367497.1367510"},{"key":"29_CR14","doi-asserted-by":"crossref","unstructured":"Jin, O., Liu, N.N., Zhao, K.: Transferring topical knowledge from auxiliary long texts for short text clustering. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 775\u2013784. ACM (2011)","DOI":"10.1145\/2063576.2063689"},{"key":"29_CR15","doi-asserted-by":"crossref","unstructured":"Bordino, I., Castillo, C., Donato, D.: Query similarity by projecting the query-flow graph. In: Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 515\u2013522. ACM (2010)","DOI":"10.1145\/1835449.1835536"},{"key":"29_CR16","doi-asserted-by":"crossref","unstructured":"Yan, X., Guo, J., Lan, Y.: A biterm topic model for short texts. In: Proceedings of the 22nd International Conference on World Wide Web, pp. 1445\u20131456. ACM (2013)","DOI":"10.1145\/2488388.2488514"},{"key":"29_CR17","doi-asserted-by":"crossref","unstructured":"Guo, J., Cheng, X., Xu, G.: Intent-aware query similarity. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 259\u2013268. ACM (2011)","DOI":"10.1145\/2063576.2063619"},{"key":"29_CR18","doi-asserted-by":"crossref","unstructured":"Weng, J., Lim, E.P., Jiang, J.: TwitterRank: finding topic-sensitive influential Twitterers. In: Proceedings of the Third ACM International Conference on Web Search and Data Mining, pp. 261\u2013270. ACM (2010)","DOI":"10.1145\/1718487.1718520"},{"key":"29_CR19","doi-asserted-by":"crossref","unstructured":"Mehrotra, R., Sanner, S., Buntine, W.: Improving LDA topic models for microblogs via tweet pooling and automatic labeling. In: Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 889\u2013892. ACM (2013)","DOI":"10.1145\/2484028.2484166"},{"key":"29_CR20","doi-asserted-by":"crossref","unstructured":"Lin, T., Tian, W., Mei, Q.: The dual-sparse topic model: mining focused topics and focused terms in short text. In: Proceedings of the 23rd International Conference on World Wide Web, pp. 539\u2013550. ACM (2014)","DOI":"10.1145\/2566486.2567980"},{"key":"29_CR21","doi-asserted-by":"crossref","unstructured":"Banerjee, K.: Clustering short texts using Wikipedia. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 787\u2013788. ACM (2007)","DOI":"10.1145\/1277741.1277909"},{"key":"29_CR22","doi-asserted-by":"crossref","unstructured":"Chen, W., et al.: EEG-based motion intention recognition via multi-task RNNs. In: Proceedings of the 2018 SIAM International Conference on Data Mining, pp. 279\u2013287. Society for Industrial and Applied Mathematics (2018)","DOI":"10.1137\/1.9781611975321.32"},{"key":"29_CR23","doi-asserted-by":"crossref","unstructured":"Yue, L., Chen, W., Li, X., Zuo, W., Yin, M.: A survey of sentiment analysis in social media. Knowl. Inf. Syst. 1\u201347 (2018)","DOI":"10.1007\/s10115-018-1236-4"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-05090-0_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T14:45:24Z","timestamp":1709822724000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-05090-0_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030050894","9783030050900"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-05090-0_29","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":"29 December 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Data Mining and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","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":"16 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adma2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/adma2018.nuaa.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}