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

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[[Category:Scientific works]]

Latest revision as of 20:47, 16 November 2020


Identifying Document Topics Using the Wikipedia Category Network
Authors
Péter Schönhofen
Publication date
2009
DOI
10.3233/WIA-2009-0162
Links
Original

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.

Embed

Wikipedia Quality

Schönhofen, Péter. (2009). "[[Identifying Document Topics Using the Wikipedia Category Network]]". IOS Press. DOI: 10.3233/WIA-2009-0162.

English Wikipedia

{{cite journal |last1=Schönhofen |first1=Péter |title=Identifying Document Topics Using the Wikipedia Category Network |date=2009 |doi=10.3233/WIA-2009-0162 |url=https://wikipediaquality.com/wiki/Identifying_Document_Topics_Using_the_Wikipedia_Category_Network |journal=IOS Press}}

HTML

Schönhofen, Péter. (2009). &quot;<a href="https://wikipediaquality.com/wiki/Identifying_Document_Topics_Using_the_Wikipedia_Category_Network">Identifying Document Topics Using the Wikipedia Category Network</a>&quot;. IOS Press. DOI: 10.3233/WIA-2009-0162.