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Geographical classification of documents using evidence from Wikipedia
Abstract Obtaining or approximating a geographic loObtaining or approximating a geographic location for search results often motivates users to include place names and other geography-related terms in their queries. Previous work shows that queries that include geography-related terms correspond to a significant share of the users' demand. Therefore, it is important to recognize the association of documents to places in order to adequately respond to such queries. This paper describes strategies for text classification into geography-related categories, using evidence extracted from Wikipedia. We use terms that correspond to entry titles and the connections between entries in Wikipedia's graph to establish a semantic network from which classification features are generated. Results of experiments using a news data-set, classified over Brazilian states, show that such terms constitute valid evidence for the geographical classification of documents, and demonstrate the potential of this technique for text classification. Copyrightchnique for text classification. Copyright
Abstractsub Obtaining or approximating a geographic loObtaining or approximating a geographic location for search results often motivates users to include place names and other geography-related terms in their queries. Previous work shows that queries that include geography-related terms correspond to a significant share of the users' demand. Therefore, it is important to recognize the association of documents to places in order to adequately respond to such queries. This paper describes strategies for text classification into geography-related categories, using evidence extracted from Wikipedia. We use terms that correspond to entry titles and the connections between entries in Wikipedia's graph to establish a semantic network from which classification features are generated. Results of experiments using a news data-set, classified over Brazilian states, show that such terms constitute valid evidence for the geographical classification of documents, and demonstrate the potential of this technique for text classification. Copyrightchnique for text classification. Copyright
Bibtextype inproceedings  +
Doi 10.1145/1722080.1722096  +
Has author Odon De Alencar R. + , Davis Jr. C.A. + , Goncalves M.A. +
Has extra keyword Classification features + , Dataset + , Geo-spatial + , Geographic information retrieval + , Geographic location + , Search results + , Semantic network + , Text classification + , Wikipedia + , Classification (of information) + , Information retrieval systems + , Technical presentations + , Text processing + , Information retrieval +
Has keyword Geographic information retrieval + , Geospatial evidence + , Text classification +
Isbn 9781605588261  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Published in Proceedings of the 6th Workshop on Geographic Information Retrieval, GIR'10 +
Title Geographical classification of documents using evidence from Wikipedia +
Type conference paper  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 7 November 2014 19:01:13  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 19:01:13  +
DateThis property is a special property in this wiki. 2010  +
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