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 | + | {{Infobox work |
| + | | title = Identifying Document Topics Using the Wikipedia Category Network | ||
| + | | date = 2006 | ||
| + | | authors = [[Péter Schönhofen]] | ||
| + | | doi = 10.1109/WI.2006.92 | ||
| + | | link = http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4061411 | ||
| + | | plink = https://www.researchgate.net/profile/Peter_Schoenhofen/publication/233748512_Identifying_Document_Topics_Using_the_Wikipedia_Category_Network/links/0912f50b141fcda6e7000000.pdf | ||
| + | }} | ||
| + | '''Identifying Document Topics Using the Wikipedia Category Network''' - scientific work related to [[Wikipedia quality]] published in 2006, written by [[Péter Schönhofen]]. | ||
== Overview == | == Overview == | ||
| − | In the last few years the size and coverage of | + | 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. |
Revision as of 12:04, 20 June 2019
Authors | Péter Schönhofen |
|---|---|
Publication date | 2006 |
DOI | 10.1109/WI.2006.92 |
Links | Original Preprint |
Identifying Document Topics Using the Wikipedia Category Network - scientific work related to Wikipedia quality published in 2006, written by Péter Schönhofen.
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.
