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- W584380690 abstract "This thesis attempts to evaluate if it is viable for an information retrieval application to cluster the documents of a search result and generate multi-document summaries in query time, for Swedish documents. It evaluates the performance and quality of the document clustering algorithm k-means, and two multi-document summarization algorithms; one based on PageRank and the other based on the Cover Coefficient concept.The result shows that neither of the multi-document summarization algorithms is fast enough to run in query time, given a time limit of two seconds. But that they are both able to produce Swedish summaries of reasonably high quality. It further shows that k-means clusters documents quickly enough to be used in query time, but that the quality of the clusters are somewhat lacking and might not be good enough for practical use." @default.
- W584380690 created "2016-06-24" @default.
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- W584380690 date "2012-01-01" @default.
- W584380690 modified "2023-09-27" @default.
- W584380690 title "Multi-Document Summaries of Swedish Documents as Search Result." @default.
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