{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T06:59:15Z","timestamp":1760597955544,"version":"3.37.3"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2017YFE0117500"],"award-info":[{"award-number":["2017YFE0117500"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Social Science Fund Major Project of China","award":["19ZDA301"],"award-info":[{"award-number":["19ZDA301"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2995776","type":"journal-article","created":{"date-parts":[[2020,5,19]],"date-time":"2020-05-19T20:49:58Z","timestamp":1589921398000},"page":"98044-98056","source":"Crossref","is-referenced-by-count":16,"title":["Topic Detection and Tracking Based on Event Ontology"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8992-6998","authenticated-orcid":false,"given":"Wei","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1745-4132","authenticated-orcid":false,"given":"Lei","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4225-9833","authenticated-orcid":false,"given":"Yusen","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0053-3029","authenticated-orcid":false,"given":"Tingting","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9803-2745","authenticated-orcid":false,"given":"Weimin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CISIS.2010.88"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3115\/1073416.1073424"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.08.017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/383952.384013"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.06.089"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IHMSC.2017.190"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2017.61"},{"key":"ref36","article-title":"Using machine learning and information visualisation for discovering latent topics in Twitter news","author":"vargas-calder\u00f3n","year":"2019","journal-title":"arXiv 1910 09114"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2914097"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.105750"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2531661"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1142\/9789812774675"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277780"},{"key":"ref12","first-page":"222","article-title":"Adaptive topic tracking technique based on K-modes clustering","volume":"35","author":"ren","year":"2009","journal-title":"Comput Eng"},{"key":"ref13","first-page":"336","article-title":"Research on semantic text mining based on domain ontology","author":"jiang","year":"2012","journal-title":"Proc Int Conf Comput Comput Technol Agricult"},{"key":"ref14","first-page":"189","article-title":"Research on event-oriented ontology model","volume":"36","author":"liu","year":"2009","journal-title":"Comput Sci"},{"key":"ref15","first-page":"359","article-title":"Word2vec parameter learning explained","volume":"39","author":"rong","year":"2014","journal-title":"Comput Sci"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cities.2019.03.019"},{"key":"ref17","first-page":"142","article-title":"Chinese sentiment classification using extended word2vec","volume":"28","author":"sheng","year":"2016","journal-title":"J Donghua Univ"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref19","article-title":"FastText.Zip: Compressing text classification models","author":"joulin","year":"2016","journal-title":"arXiv 1612 03651"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1049\/cje.2018.11.004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/290941.290953"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70096-0_56"},{"key":"ref3","first-page":"189","article-title":"Social network bursty topic discovery based on RNN and topic model","volume":"39","author":"shi","year":"2018","journal-title":"J Commun"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1076034.1076055"},{"journal-title":"On-line new event detection clustering and tracking","year":"1999","author":"papka","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3115\/1220575.1220591"},{"key":"ref8","first-page":"133","article-title":"Using TF-IDF to determine word relevance in document queries","volume":"242","author":"ramos","year":"2003","journal-title":"Proc 1st instructional Conf Machine Learning"},{"key":"ref7","first-page":"29","article-title":"The study of topic detection based on algorithm of division and multi-level clustering with multi-strategy optimization","volume":"20","author":"wei-hua","year":"2006","journal-title":"J Chin Inf Process"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-0933-2_2"},{"key":"ref9","article-title":"Survey on temporal topic model methods and application","volume":"2","author":"gui","year":"2017","journal-title":"Comput Sci"},{"key":"ref1","first-page":"194","article-title":"Topic detection and tracking pilot study final report","author":"allan","year":"1998","journal-title":"Proc Broadcast News Transcription and Understanding Workshop"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.03.008"},{"key":"ref20","first-page":"170","article-title":"Development and research of topic detection and tracking","author":"chen","year":"2016","journal-title":"Proc 7th IEEE Int Conf Softw Eng Service Sci (ICSESS)"},{"key":"ref45","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2016.7840680"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2007.09.013"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1201\/b12207"},{"key":"ref24","first-page":"39","article-title":"A C-LSTM neural network for text classification","volume":"1","author":"zhou","year":"2015","journal-title":"Comput Sci"},{"key":"ref41","first-page":"387","article-title":"The key technology of topic detection based on K-means","volume":"2","author":"li","year":"2010","journal-title":"Proc Int Conf Future Inf Technol Manage Eng"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-017-0487-y"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/sj.gene.6364024"},{"key":"ref26","first-page":"1","article-title":"Multilingual hierarchical attention networks for document classification","author":"pappas","year":"2017","journal-title":"Proc IJCNLP"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367560"},{"key":"ref25","first-page":"649","article-title":"Character-level convolutional networks for text classification","author":"zhang","year":"2015","journal-title":"Proc 28th Int Conf Neural Inf Process Syst (NIPS)"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09096349.pdf?arnumber=9096349","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:52:10Z","timestamp":1639770730000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9096349\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2995776","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}