Graph-based generalized latent semantic analysis for document representation

Authors:
Irina Matveeva;Gina-Anne Levow
Affiliations:
University of Chicago, Chicago, IL;University of Chicago, Chicago, IL
Venue:
TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
Year:
2006

Citing 5
Cited 0

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Abstract

Document indexing and representation of term-document relations are very important for document clustering and retrieval. In this paper, we combine a graph-based dimensionality reduction method with a corpus-based association measure within the Generalized Latent Semantic Analysis framework. We evaluate the graph-based GLSA on the document clustering task.