{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,13]],"date-time":"2025-12-13T07:11:54Z","timestamp":1765609914132,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T00:00:00Z","timestamp":1551398400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T00:00:00Z","timestamp":1551398400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T00:00:00Z","timestamp":1551398400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.1109\/rivf.2019.8713730","type":"proceedings-article","created":{"date-parts":[[2019,5,16]],"date-time":"2019-05-16T17:27:30Z","timestamp":1558027650000},"page":"1-6","source":"Crossref","is-referenced-by-count":14,"title":["Hot Topic Detection on Twitter Data Streams with Incremental Clustering Using Named Entities and Central Centroids"],"prefix":"10.1109","author":[{"given":"Son","family":"Nguyen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bao","family":"Ngo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chau","family":"Vo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tru","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"224","article-title":"TwitterNews+: a framework for real time event detection from the Twitter data stream","author":"hasan","year":"2016","journal-title":"Proc SocInfo 2016 Part I LNCS 10046"},{"key":"ref11","article-title":"Real-time event detection from the Twitter data stream using the TwitterNews+ framework","author":"hasan","year":"2018","journal-title":"Information Processing and Management"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727381"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2017.157"},{"key":"ref14","first-page":"1","article-title":"Event detection and evolution based on knowledge base","author":"liu","year":"2018","journal-title":"Proc KBCOM 2018"},{"key":"ref15","first-page":"65","article-title":"Real-time entity-based event detection for Twitter","author":"mcminn","year":"2015","journal-title":"Proc CLEF 2015 LNCS 9283"},{"key":"ref16","first-page":"1","article-title":"Building a large-scale corpus for evaluating event detection on Twitter","author":"mcminn","year":"2013","journal-title":"Proc CIKM’ 13"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1007\/978-3-319-41706-6_2","article-title":"Detecting events in online social networks: definitions, trends and challenges","author":"panagiotou","year":"2016","journal-title":"Solving Large Scale Learning Tasks Challenges and Algorithms LNAI 9580"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2017EDP7311"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2013.08.006"},{"key":"ref4","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"Journal of Machine Learning Research"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CCWC.2017.7868467"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.1040"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1814245.1814249"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/0165551514541614"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67008-9_21"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972825.54"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCS.2014.7068182"},{"key":"ref9","first-page":"1","article-title":"TwitterNews: real time event detection from the Twitter data stream","author":"hasan","year":"2016","journal-title":"PeerJ PrePrints 4 e2297v1"},{"key":"ref20","first-page":"502","article-title":"Real time event detection in Twitter","author":"wang","year":"2013","journal-title":"Proc the 14th International Conference on Web-Age Information Management"},{"key":"ref21","first-page":"103","article-title":"BIRCH: an efficient data clustering method for very large databases","author":"zhang","year":"1996","journal-title":"Proc SIGMOD ‘96"}],"event":{"name":"2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF)","start":{"date-parts":[[2019,3,20]]},"location":"Danang, Vietnam","end":{"date-parts":[[2019,3,22]]}},"container-title":["2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8705149\/8713612\/08713730.pdf?arnumber=8713730","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T16:18:41Z","timestamp":1658247521000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8713730\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/rivf.2019.8713730","relation":{},"subject":[],"published":{"date-parts":[[2019,3]]}}}