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Significant term extraction by Higher Order SVD

Manna, Sukanya; Petres, Zoltan; Gedeon, Tamas (Tom)


In this paper, we present a novel method for term importance, called Tensor Term Indexing (TTI). This extracts significant terms from a document as well as a coherent collection of document set. The basic idea of this approach is to represent the whole document collection in a Term-Sentence-Document tensor and employs higher-order singular value decomposition (HOSVD) for important term extraction. TTI uses the lower rank approximation technique to reduce noise by eliminating anecdotal terms, to...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Conference paper
Source: Proceedings of the 7th International Symposium on Applied Machine Intelligence and Informatics Proceedings
DOI: 10.1109/SAMI.2009.4956610


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