{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:28:08Z","timestamp":1777854488607,"version":"3.51.4"},"reference-count":41,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2014,7,3]],"date-time":"2014-07-03T00:00:00Z","timestamp":1404345600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Information Science"],"published-print":{"date-parts":[[2014,10]]},"abstract":"<jats:p>Twitter is widely used all over the world, and a huge number of hot topics are generated by Twitter users in real time. These topics are able to reflect almost every aspect of people\u2019s daily lives. Therefore, the detection of topics in Twitter can be used in many real applications, such as monitoring public opinion, hot product recommendation and incidence detection. However, the performance of traditional topic detection methods is still far from perfect largely owing to the tweets\u2019 features, such as their limited length and arbitrary abbreviations. To address these problems, we propose a novel framework (MVTD) for Twitter topic detection using multiview clustering, which can integrate multirelations among tweets, such as semantic relations, social tag relations and temporal relations. We also propose some methods for measuring relations among tweets. In particular, to better measure the semantic similarity of tweets, we propose a new document similarity measure based on a suffix tree (STVSM). In addition, a new keyword extraction method based on a suffix tree is proposed. Experiments on real datasets show that the performance of MVTD is much better than that of a single view, and it is useful for detecting topics from Twitter.<\/jats:p>","DOI":"10.1177\/0165551514541614","type":"journal-article","created":{"date-parts":[[2014,7,4]],"date-time":"2014-07-04T00:46:11Z","timestamp":1404434771000},"page":"578-593","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":50,"title":["Detecting hot topics from Twitter: A multiview approach"],"prefix":"10.1177","volume":"40","author":[{"given":"Yixiang","family":"Fang","sequence":"first","affiliation":[{"name":"Shenzhen Graduate School, Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shenzhen Graduate School, Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunming","family":"Ye","sequence":"additional","affiliation":[{"name":"Shenzhen Graduate School, Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xutao","family":"Li","sequence":"additional","affiliation":[{"name":"Shenzhen Graduate School, Harbin Institute of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2014,7,3]]},"reference":[{"key":"bibr1-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772751"},{"key":"bibr2-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963504"},{"key":"bibr3-0165551514541614","doi-asserted-by":"crossref","unstructured":"Papka R, Allan J. On-Line new event detection using Single Pass Clustering. Technical report no. TR98-21, UMass Computer Science, 1998.","DOI":"10.1145\/290941.290954"},{"key":"bibr4-0165551514541614","first-page":"993","volume":"3","author":"Blei DM","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"bibr5-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23620-4_18"},{"key":"bibr6-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1177\/0165551512473066"},{"key":"bibr7-0165551514541614","volume-title":"Proceedings of the international conference on weblogs and social media","author":"Sayyadi H","year":"2009"},{"key":"bibr8-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772777"},{"key":"bibr9-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871751"},{"key":"bibr10-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/1963192.1963246"},{"key":"bibr11-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32115-3_19"},{"key":"bibr12-0165551514541614","first-page":"165","volume-title":"International conference on architecture of computing systems workshops","author":"Ishikawa S","year":"2012"},{"key":"bibr13-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/1814245.1814249"},{"key":"bibr14-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487576"},{"key":"bibr15-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2012.04.224"},{"key":"bibr16-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/1807167.1807306"},{"key":"bibr17-0165551514541614","first-page":"181","volume-title":"Proceedings of 2010 annual conference of the North American Chapter of the Association for Computational Linguistics","author":"Peterovic S","year":"2010"},{"key":"bibr18-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1504\/IJWBC.2013.051298"},{"key":"bibr19-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/290941.290956"},{"key":"bibr20-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242590"},{"key":"bibr21-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.50"},{"key":"bibr22-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/2350190.2350202"},{"key":"bibr23-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti710"},{"key":"bibr24-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1007\/BF01206331"},{"key":"bibr25-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/1882471.1882480"},{"key":"bibr26-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1177\/0165551510389108"},{"key":"bibr27-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38562-9_51"},{"key":"bibr28-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/2487788.2488050"},{"key":"bibr29-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2004.10095"},{"key":"bibr30-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/1498759.1498809"},{"key":"bibr31-0165551514541614","series-title":"Technical report","volume-title":"School of Computing, Informatics, and Decision System Engineering, Arizona State University","author":"Tang L","year":"2010"},{"key":"bibr32-0165551514541614","first-page":"393","volume-title":"Proceedings of international conference on machine learning","author":"Kumar A","year":"2011"},{"key":"bibr33-0165551514541614","first-page":"849","volume-title":"Proceedings of advances in neural information processing systems","author":"Ng A","year":"2001"},{"key":"bibr34-0165551514541614","first-page":"1413","volume-title":"Proceedings of advances in neural information processing systems","author":"Kumar A","year":"2011"},{"key":"bibr35-0165551514541614","first-page":"668","volume-title":"Proceedings of the 16th international joint conference on artificial intelligence","author":"Frank E","year":"1999"},{"key":"bibr36-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009976227802"},{"key":"bibr37-0165551514541614","first-page":"404","volume-title":"Conference on empirical methods in natural language processing","volume":"4","author":"Mihalcea R","year":"2004"},{"key":"bibr38-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1109\/DEXA.2010.32"},{"key":"bibr39-0165551514541614","first-page":"411","volume-title":"Proceedings of international joint conference on knowledge discovery, knowledge engineering and knowledge management","author":"Timonen M","year":"2012"},{"key":"bibr40-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772845"},{"key":"bibr41-0165551514541614","doi-asserted-by":"publisher","DOI":"10.1177\/0165551513508877"}],"container-title":["Journal of Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0165551514541614","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/0165551514541614","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0165551514541614","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T23:08:57Z","timestamp":1777504137000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/0165551514541614"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,7,3]]},"references-count":41,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2014,10]]}},"alternative-id":["10.1177\/0165551514541614"],"URL":"https:\/\/doi.org\/10.1177\/0165551514541614","relation":{},"ISSN":["0165-5515","1741-6485"],"issn-type":[{"value":"0165-5515","type":"print"},{"value":"1741-6485","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,7,3]]}}}