|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 30 van 65 gevonden artikelen
| Titel: |
Identifying document topics using the Wikipedia category network |
| Auteur: |
Schönhofen, Peter |
| Verschenen in: |
Web intelligence and agent systems |
| Paginering: | Jaargang 7 (2009) nr. 2 pagina's 195-207 |
| Jaar: |
2009-04-22 |
| Inhoud: |
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 we 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. We test the reliability of our 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. |
| Uitgever: |
IOS Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 30 van 65 gevonden artikelen
| << vorige | volgende >> |