{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:05:58Z","timestamp":1781107558259,"version":"3.54.1"},"reference-count":25,"publisher":"IGI Global Scientific Publishing","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7,1]]},"abstract":"<p>The Digital era has the benefits in unearthing a large amount of imperative material. One such digital document is social media data, which when processed can give rise to information which can be helpful to our society. One of the many things that we can unearth from social media is events. Twitter is a very popular microblog that encompasses fruitful and rich information on real world events and popular topics. Event detection in view of situational awareness for crisis response is an important need of the current world. The identification of tweets comprising information that may assist in help and rescue operation is crucial. Most pertinent features for this process of identification are studied and the inferences are given in this article. The efficiency and practicality of the features are discussed here. This article also presents the results of experimentation carried out to assess the most relevant combination of features for improved performance in event detection from Twitter.<\/p>","DOI":"10.4018\/ijitwe.2019070101","type":"journal-article","created":{"date-parts":[[2019,4,23]],"date-time":"2019-04-23T09:05:12Z","timestamp":1556010312000},"page":"1-15","source":"Crossref","is-referenced-by-count":1,"title":["Enhanced Event Detection in Twitter Through Feature Analysis"],"prefix":"10.4018","volume":"14","author":[{"family":"Dharini Ramachandran.","sequence":"first","affiliation":[{"name":"Vellore Institute of Technology, Chennai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Parvathi R.","sequence":"additional","affiliation":[{"name":"Vellore Institute of Technology, Chennai, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJITWE.2019070101-0","doi-asserted-by":"publisher","DOI":"10.14778\/2536274.2536307"},{"key":"IJITWE.2019070101-1","doi-asserted-by":"crossref","unstructured":"Baralis, E., Cerquitelli, T., Chiusano, S., Grimaudo, L., & Xiao, X. (2013). Analysis of twitter data using a multiple-level clustering strategy, In International Conference on Model and Data Engineering, Springer,13-24.","DOI":"10.1007\/978-3-642-41366-7_2"},{"key":"IJITWE.2019070101-2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2404431"},{"key":"IJITWE.2019070101-3","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661843"},{"key":"IJITWE.2019070101-4","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2015.09.021"},{"key":"IJITWE.2019070101-5","doi-asserted-by":"crossref","unstructured":"Gimpel, K., Schneider, N., O\u2019Connor, B., Das, D., Mills, D., Eisenstein, J., . . . Smith, N. A. (2011). Part-of-speech tagging for twitter: Annotation, features, and experiments. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (pp. 42\u201347).","DOI":"10.21236\/ADA547371"},{"key":"IJITWE.2019070101-6","first-page":"300","article-title":"Etree: Effective and efficient event modeling for real-time online social media networks. In Proceedings of","author":"H.Gu","year":"2011","journal-title":"2011 IEEE\/WIC\/ACM"},{"key":"IJITWE.2019070101-7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2016.09.002"},{"key":"IJITWE.2019070101-8","first-page":"155","article-title":"Twevent: segment-based event detection from tweets.","author":"C.Li","year":"2012","journal-title":"Proceedings of the 21st ACM international conference on Information and knowledge management"},{"key":"IJITWE.2019070101-9","doi-asserted-by":"publisher","DOI":"10.1145\/2836041.2836055"},{"key":"IJITWE.2019070101-10","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071"},{"key":"IJITWE.2019070101-11","doi-asserted-by":"publisher","DOI":"10.1016\/j.invent.2015.03.005"},{"key":"IJITWE.2019070101-12","doi-asserted-by":"publisher","DOI":"10.1145\/1963192.1963246"},{"key":"IJITWE.2019070101-13","doi-asserted-by":"publisher","DOI":"10.1147\/JRD.2013.2260692"},{"key":"IJITWE.2019070101-14","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806485"},{"key":"IJITWE.2019070101-15","first-page":"42","article-title":"Twitterstand: news in tweets.","author":"J.Sankaranarayanan","year":"2009","journal-title":"Proceedings of the 17th ACM SIGSPATIAL international conference on advances in geographic information systems"},{"key":"IJITWE.2019070101-16","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2741730"},{"key":"IJITWE.2019070101-17","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2014.05.192"},{"key":"IJITWE.2019070101-18","unstructured":"Twitter. (2017). Retrieved from https:\/\/dev.twitter.com\/docs"},{"key":"IJITWE.2019070101-19","year":"2017"},{"key":"IJITWE.2019070101-20","doi-asserted-by":"crossref","unstructured":"Tzeng, Y. S., Jiang, J. Y., & Cheng, P. J. (2012). Event duration detection on microblogging. In Proceedings of the 2012 IEEE\/WIC\/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (Vol. 1, pp. 16\u201323).","DOI":"10.1109\/WI-IAT.2012.251"},{"key":"IJITWE.2019070101-21","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-014-0291-3"},{"key":"IJITWE.2019070101-22","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2064014"},{"key":"IJITWE.2019070101-23","doi-asserted-by":"publisher","DOI":"10.1145\/2484702.2484703"},{"key":"IJITWE.2019070101-24","first-page":"401","article-title":"Event detection in twitter.","author":"J.Weng","year":"2011","journal-title":"Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM)"}],"container-title":["International Journal of Information Technology and Web Engineering"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=227685","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T16:44:52Z","timestamp":1651855492000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJITWE.2019070101"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2019,7,1]]},"references-count":25,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,7]]}},"URL":"https:\/\/doi.org\/10.4018\/ijitwe.2019070101","relation":{},"ISSN":["1554-1045","1554-1053"],"issn-type":[{"value":"1554-1045","type":"print"},{"value":"1554-1053","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,1]]}}}