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dc.contributor.advisorTøssebro, Erlend
dc.contributor.authorShivakoti, Dinesh
dc.date.accessioned2016-10-10T11:16:42Z
dc.date.available2016-10-10T11:16:42Z
dc.date.issued2016-06-15
dc.identifier.urihttp://hdl.handle.net/11250/2413910
dc.descriptionMaster's thesis in Computer sciencenb_NO
dc.description.abstractIn the present word of electronic media, there are hundreds of newspapers available online, it is really a tired some task to search for a specific event in this online newspapers. This paper looked into possibility of automatic detection of accident events in news report and pointing out the event locations in the map as precisely as possible. Although many research has been done in data mining and extracting relevant and intended meaning of text data, many a times it is not sufficient alone. Various factors affect the quality of the extracted information, which includes correctness, relevance of the information. Also geo-locating a place based on the description present in the text data is still a challenge task. Thus this paper studies these hurdles and application is designed to extract and filter relevant data from text document to point out the event in the map precisely.nb_NO
dc.language.isoengnb_NO
dc.publisherUniversity of Stavanger, Norwaynb_NO
dc.relation.ispartofseriesMasteroppgave/UIS-TN-IDE/2016;
dc.rightsNavngivelse 3.0 Norge*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/no/*
dc.subjectinformasjonsteknologinb_NO
dc.subjectGISnb_NO
dc.subjectNamed Entity Recognizernb_NO
dc.subjectStanford CoreNLPnb_NO
dc.subjectinformation extractionnb_NO
dc.subjectgeocodingnb_NO
dc.titleAutomatic Detection and Extraction of Event Locations in News Report to locate in Map.nb_NO
dc.typeMaster thesisnb_NO
dc.subject.nsiVDP::Technology: 500::Information and communication technology: 550::Computer technology: 551nb_NO


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