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dc.contributor.authorLarsen, Aleksander Skjævelandeng
dc.date.accessioned2012-10-04T05:25:59Z
dc.date.available2012-10-04T05:25:59Z
dc.date.issued2012-06-01eng
dc.date.submitted2012-06-01eng
dc.identifier.urihttp://hdl.handle.net/1956/6096
dc.description.abstractSeveral news articles on the web contain geographical locations as significant elements. For the most part, these locations are not available in a format that is machine interpretable. The machine can read in the text of an article, but not derive an understanding of its content. This project aims to find techniques for detecting and extracting locations from the plain text online news articles. The project is limited to articles written in Norwegian, and published in the county of Hordaland. This is done by using methods from design science, for the development and evaluation. A prototype is implemented as a proof-of-concept system using the Clojure programming language. By text analysis, the prototype is able to find mentions of locations in articles. The prototype system have been made available as an open source project and as a Clojure library.eng
dc.format.extent825591 byteseng
dc.format.mimetypeapplication/pdfeng
dc.language.isoengeng
dc.publisherThe University of Bergeneng
dc.titleExtracting geographical semantics from online news articleseng
dc.typeMaster thesiseng
dc.type.degreeMasternob
dc.type.courseINFO390eng
dc.subject.archivecodeMastergradeng
dc.subject.nus735115eng
dc.type.programMASV-INFOeng
dc.rights.holderCopyright the author. All rights reserved


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