Difference between revisions of "Identifying Document Topics Using the Wikipedia Category Network"

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'''Identifying Document Topics Using the Wikipedia Category Network''' - scientific work related to [[Wikipedia quality]] published in 2006, written by [[Péter Schönhofen]].
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'''Identifying Document Topics Using the Wikipedia Category Network''' - scientific work related to Wikipedia quality published in 2009, written by Péter Schönhofen.
  
 
== Overview ==
 
== Overview ==
In the last few years the size and coverage of Wikipe- dia, a freely available on-line encyclopedia has reached the point where it can be utilized similar to an [[ontology]] or tax- onomy to identify the topics discussed in a document. In this paper authors will show that even a simple algorithm that exploits only the titles and [[categories]] of [[Wikipedia]] articles can characterize documents by [[Wikipedia categories]] sur- prisingly well. Authors test the [[reliability]] of method by pre- dicting categories ofWikipedia articles themselves based on their bodies, and by performing classification and cluster- ing on 20 Newsgroups and RCV1, representing documents by their Wikipedia categories instead of their texts.
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In the last few years the size and coverage of Wikipedia, a community edited, freely available on-line encyclopedia has reached the point where it can be effectively used to identify topics discussed in a document, similarly to an ontology or taxonomy. In this paper authors will show that even a fairly simple algorithm that exploits only the titles and categories of Wikipedia articles can characterize documents by Wikipedia categories surprisingly well. Authors test the reliability of method by predicting categories of Wikipedia articles themselves based on their bodies, and also by performing classification and clustering on 20 Newsgroups and RCV1, representing documents by their Wikipedia categories instead of (or in addition to) their texts.

Revision as of 00:14, 9 June 2019

Identifying Document Topics Using the Wikipedia Category Network - scientific work related to Wikipedia quality published in 2009, written by Péter Schönhofen.

Overview

In the last few years the size and coverage of Wikipedia, a community edited, freely available on-line encyclopedia has reached the point where it can be effectively used to identify topics discussed in a document, similarly to an ontology or taxonomy. In this paper authors will show that even a fairly simple algorithm that exploits only the titles and categories of Wikipedia articles can characterize documents by Wikipedia categories surprisingly well. Authors test the reliability of method by predicting categories of Wikipedia articles themselves based on their bodies, and also by performing classification and clustering on 20 Newsgroups and RCV1, representing documents by their Wikipedia categories instead of (or in addition to) their texts.