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EP
1998
Springer

Spotting Topics with the Singular Value Decomposition

8 years 7 months ago
Spotting Topics with the Singular Value Decomposition
Abstract. The singular value decomposition, or SVD , has been studied in the past as a tool for detecting and understanding patterns in a collection of documents. We show how the matrices produced by the SVD calculation can be interpreted, allowing us to spot patterns of characters that indicate particular topics in a corpus. A test collection, consisting of two days of AP newswire tra c, is used as a running example.
Charles K. Nicholas, Randall Dahlberg
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1998
Where EP
Authors Charles K. Nicholas, Randall Dahlberg
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