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- W2282316968 abstract "Given a search query, most existing search engines simply return a ranked list of search results. However, it is often the case that those search result documents consist of a mixture of documents that are closely related to various sub-topics. This is also true for the case of our previously developed framework of retrieving blog posts which are closely related to a certain topic. In this paper, we propose a framework of categorizing blog posts according to their sub-topics, where, given a search query, those blog posts are automatically collected from the blogosphere. In our framework, the sub-topic of each blog post is identified by utilizing Wikipedia entries as a knowledge source and each Wikipedia entry title is considered as a sub-topic label. This paper especially presents examples of applying the proposed framework to Japanese / Korean / English blogospheres. Through those examples, we show that it becomes much easier to quickly overview the distribution of sub-topics over the whole blog posts collected with a certain search query." @default.
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- W2282316968 date "2011-06-30" @default.
- W2282316968 modified "2023-09-23" @default.
- W2282316968 title "Analyzing Topics of Blogs based on Wikipedia as a Multilingual Knowledge Source" @default.
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