Information Mining Based on Fusing Results of Multi-Perspective Cluster-based Summarizations
نویسندگان
چکیده
In this paper, we propose a method to highlight the most important parts of documents, in order to help users to reach to their desired information in information space more beneficially. To do this, the results obtained from a multi-document cluster-based summarization system based upon different perspectives of summarization (such as query-based, general, etc.) are fused in a way that the final results are more informative with respect to the query, in comparison with the results obtained from each prespective of summarization individually. Key-words:Information Mining, Information Retrieval, Fuzzy Document Clustering, Automatic Summarization
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تاریخ انتشار 2004