Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/26037
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dc.contributor.authorDuarte, Fernando José Fradiquept_PT
dc.contributor.authorPereira, Óscar Mortáguapt_PT
dc.contributor.authorAguiar, Rui L.pt_PT
dc.date.accessioned2019-05-13T14:00:42Z-
dc.date.available2019-05-13T14:00:42Z-
dc.date.issued2019-07-01-
dc.identifier.issn1947-9344pt_PT
dc.identifier.urihttp://hdl.handle.net/10773/26037-
dc.description.abstractThe new communication paradigm established by social media along with its growing popularity in recent years contributed to attract an increasing interest of several research fields. One such research field is the field of event detection in social media. The contribution of this article is to implement a system to detect newsworthy events in Twitter. The proposed pipeline first splits the tweets into segments. These segments are then ranked. The top k segments in this ranking are then grouped together. Finally, the resulting candidate events are filtered in order to retain only those related to realworld newsworthy events. The implemented system was tested with three months of data, representing a total of 4,770,636 tweets written in Portuguese. In terms of performance, the proposed approach achieved an overall precision of 88% and a recall of 38%.pt_PT
dc.language.isoengpt_PT
dc.publisherIGI Globalpt_PT
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147328/PTpt_PT
dc.relationSFRH/BD/109911/2015pt_PT
dc.rightsopenAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectDirected Acyclic Graphpt_PT
dc.subjectDynamic Programmingpt_PT
dc.subjectEvent Detectionpt_PT
dc.subjectJarvis-Patrick Clusteringpt_PT
dc.subjectKNN Neighborspt_PT
dc.subjectLearningpt_PT
dc.subjectMachine XGBoostpt_PT
dc.subjectNaïve Bayespt_PT
dc.subjectRandom Forestpt_PT
dc.subjectSVMpt_PT
dc.titleFramework for the Discovery of Newsworthy Events in Social Mediapt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.firstPage45pt_PT
degois.publication.issue3pt_PT
degois.publication.lastPage62pt_PT
degois.publication.titleInternational Journal of Organizational and Collective Intelligencept_PT
degois.publication.volume9pt_PT
dc.identifier.doi10.4018/IJOCI.2019070103pt_PT
dc.identifier.essn1947-9352pt_PT
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