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Extracting geographical semantics from online news articles

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dc.contributor.author Larsen, Aleksander Skjæveland
dc.date.accessioned 2012-10-04T05:25:59Z
dc.date.available 2012-10-04T05:25:59Z
dc.date.issued 2012-06-01
dc.date.submitted 2012-06-01 en
dc.identifier.uri http://hdl.handle.net/1956/6096
dc.description.abstract Several 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.extent 825591 bytes en
dc.format.mimetype application/pdf en
dc.language.iso eng eng
dc.publisher The University of Bergen eng
dc.rights Copyright the author. All rights reserved eng
dc.title Extracting geographical semantics from online news articles eng
dc.type Master thesis eng
dc.type.degree Master en
dc.type.course INFO390 eng
dc.subject.archivecode Mastergrad en
dc.subject.nus 735115 en
dc.type.program MASV-INFO eng


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