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2007
Springer

Fuzzy Clustering for Topic Analysis and Summarization of Document Collections

9 years 6 months ago
Fuzzy Clustering for Topic Analysis and Summarization of Document Collections
Abstract. Large document collections, such as those delivered by Internet search engines, are difficult and time-consuming for users to read and analyse. The detection of common and distinctive topics within a document set, together with the generation of multi-document summaries, can greatly ease the burden of information management. We show how this can be achieved with a clustering algorithm based on fuzzy set theory, which (i) is easy to implement and integrate into a personal information system, (ii) generates a highly flexible data structure for topic analysis and summarization, and (iii) also delivers excellent performance.
René Witte, Sabine Bergler
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where AI
Authors René Witte, Sabine Bergler
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