Fuzzy Clustering for Topic Analysis and Summarization

Sabine Bergler

Université Concordia

Le 7 juin 2007 à 11 h 30

Salle 3195, Pavillon André-Aisenstadt

We describe the use of a clustering algorithm based on fuzzy set theory for the detection of common and distinctive topics within a document set. This approach generates a highly flexible data structure that has been applied to multidocument summarization.

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